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129 KiB
129 KiB
CLBlast: API reference
xSWAP: Swap two vectors
Interchanges the contents of vectors x and y.
C++ API:
template <typename T>
StatusCode Swap(const size_t n,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSswap(const size_t n,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDswap(const size_t n,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCswap(const size_t n,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZswap(const size_t n,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHswap(const size_t n,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to SWAP:
const size_t n: Integer size argument.cl_mem x_buffer: OpenCL buffer to store the output x vector.const size_t x_offset: The offset in elements from the start of the output x vector.const size_t x_inc: Stride/increment of the output x vector.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSCAL: Vector scaling
Multiplies all elements of vector x by a scalar constant alpha.
C++ API:
template <typename T>
StatusCode Scal(const size_t n,
const T alpha,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSscal(const size_t n,
const float alpha,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDscal(const size_t n,
const double alpha,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCscal(const size_t n,
const cl_float2 alpha,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZscal(const size_t n,
const cl_double2 alpha,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHscal(const size_t n,
const cl_half alpha,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to SCAL:
const size_t n: Integer size argument.const T alpha: Input scalar constant.cl_mem x_buffer: OpenCL buffer to store the output x vector.const size_t x_offset: The offset in elements from the start of the output x vector.const size_t x_inc: Stride/increment of the output x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xCOPY: Vector copy
Copies the contents of vector x into vector y.
C++ API:
template <typename T>
StatusCode Copy(const size_t n,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastScopy(const size_t n,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDcopy(const size_t n,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCcopy(const size_t n,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZcopy(const size_t n,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHcopy(const size_t n,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to COPY:
const size_t n: Integer size argument.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xAXPY: Vector-times-constant plus vector
Performs the operation y = alpha * x + y, in which x and y are vectors and alpha is a scalar constant.
C++ API:
template <typename T>
StatusCode Axpy(const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSaxpy(const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDaxpy(const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCaxpy(const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZaxpy(const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHaxpy(const size_t n,
const cl_half alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to AXPY:
const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xDOT: Dot product of two vectors
Multiplies the vectors x and y element-wise and accumulates the results. The sum is stored in the dot buffer.
C++ API:
template <typename T>
StatusCode Dot(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSdot(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDdot(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHdot(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to DOT:
const size_t n: Integer size argument.cl_mem dot_buffer: OpenCL buffer to store the output dot vector.const size_t dot_offset: The offset in elements from the start of the output dot vector.cl_mem dot_buffer: OpenCL buffer to store the output dot vector.const size_t dot_offset: The offset in elements from the start of the output dot vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xDOTU: Dot product of two complex vectors
See the regular xDOT routine.
C++ API:
template <typename T>
StatusCode Dotu(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCdotu(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZdotu(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to DOTU:
const size_t n: Integer size argument.cl_mem dot_buffer: OpenCL buffer to store the output dot vector.const size_t dot_offset: The offset in elements from the start of the output dot vector.cl_mem dot_buffer: OpenCL buffer to store the output dot vector.const size_t dot_offset: The offset in elements from the start of the output dot vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xDOTC: Dot product of two complex vectors, one conjugated
See the regular xDOT routine.
C++ API:
template <typename T>
StatusCode Dotc(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCdotc(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZdotc(const size_t n,
cl_mem dot_buffer, const size_t dot_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to DOTC:
const size_t n: Integer size argument.cl_mem dot_buffer: OpenCL buffer to store the output dot vector.const size_t dot_offset: The offset in elements from the start of the output dot vector.cl_mem dot_buffer: OpenCL buffer to store the output dot vector.const size_t dot_offset: The offset in elements from the start of the output dot vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xNRM2: Euclidian norm of a vector
Accumulates the square of each element in the x vector and takes the square root. The resulting L2 norm is stored in the nrm2 buffer.
C++ API:
template <typename T>
StatusCode Nrm2(const size_t n,
cl_mem nrm2_buffer, const size_t nrm2_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSnrm2(const size_t n,
cl_mem nrm2_buffer, const size_t nrm2_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDnrm2(const size_t n,
cl_mem nrm2_buffer, const size_t nrm2_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastScnrm2(const size_t n,
cl_mem nrm2_buffer, const size_t nrm2_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDznrm2(const size_t n,
cl_mem nrm2_buffer, const size_t nrm2_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHnrm2(const size_t n,
cl_mem nrm2_buffer, const size_t nrm2_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to NRM2:
const size_t n: Integer size argument.cl_mem nrm2_buffer: OpenCL buffer to store the output nrm2 vector.const size_t nrm2_offset: The offset in elements from the start of the output nrm2 vector.cl_mem nrm2_buffer: OpenCL buffer to store the output nrm2 vector.const size_t nrm2_offset: The offset in elements from the start of the output nrm2 vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xASUM: Absolute sum of values in a vector
Accumulates the absolute value of each element in the x vector. The results are stored in the asum buffer.
C++ API:
template <typename T>
StatusCode Asum(const size_t n,
cl_mem asum_buffer, const size_t asum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSasum(const size_t n,
cl_mem asum_buffer, const size_t asum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDasum(const size_t n,
cl_mem asum_buffer, const size_t asum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastScasum(const size_t n,
cl_mem asum_buffer, const size_t asum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDzasum(const size_t n,
cl_mem asum_buffer, const size_t asum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHasum(const size_t n,
cl_mem asum_buffer, const size_t asum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to ASUM:
const size_t n: Integer size argument.cl_mem asum_buffer: OpenCL buffer to store the output asum vector.const size_t asum_offset: The offset in elements from the start of the output asum vector.cl_mem asum_buffer: OpenCL buffer to store the output asum vector.const size_t asum_offset: The offset in elements from the start of the output asum vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSUM: Sum of values in a vector (non-BLAS function)
Accumulates the values of each element in the x vector. The results are stored in the sum buffer. This routine is the non-absolute version of the xASUM BLAS routine.
C++ API:
template <typename T>
StatusCode Sum(const size_t n,
cl_mem sum_buffer, const size_t sum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsum(const size_t n,
cl_mem sum_buffer, const size_t sum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsum(const size_t n,
cl_mem sum_buffer, const size_t sum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastScsum(const size_t n,
cl_mem sum_buffer, const size_t sum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDzsum(const size_t n,
cl_mem sum_buffer, const size_t sum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastHsum(const size_t n,
cl_mem sum_buffer, const size_t sum_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to SUM:
const size_t n: Integer size argument.cl_mem sum_buffer: OpenCL buffer to store the output sum vector.const size_t sum_offset: The offset in elements from the start of the output sum vector.cl_mem sum_buffer: OpenCL buffer to store the output sum vector.const size_t sum_offset: The offset in elements from the start of the output sum vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xAMAX: Index of absolute maximum value in a vector
Finds the index of the maximum of the absolute values in the x vector. The resulting integer index is stored in the imax buffer.
C++ API:
template <typename T>
StatusCode Amax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastiSamax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiDamax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiCamax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiZamax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiHamax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to AMAX:
const size_t n: Integer size argument.cl_mem imax_buffer: OpenCL buffer to store the output imax vector.const size_t imax_offset: The offset in elements from the start of the output imax vector.cl_mem imax_buffer: OpenCL buffer to store the output imax vector.const size_t imax_offset: The offset in elements from the start of the output imax vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xMAX: Index of maximum value in a vector (non-BLAS function)
Finds the index of the maximum of the values in the x vector. The resulting integer index is stored in the imax buffer. This routine is the non-absolute version of the IxAMAX BLAS routine.
C++ API:
template <typename T>
StatusCode Max(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastiSmax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiDmax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiCmax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiZmax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiHmax(const size_t n,
cl_mem imax_buffer, const size_t imax_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to MAX:
const size_t n: Integer size argument.cl_mem imax_buffer: OpenCL buffer to store the output imax vector.const size_t imax_offset: The offset in elements from the start of the output imax vector.cl_mem imax_buffer: OpenCL buffer to store the output imax vector.const size_t imax_offset: The offset in elements from the start of the output imax vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xMIN: Index of minimum value in a vector (non-BLAS function)
Finds the index of the minimum of the values in the x vector. The resulting integer index is stored in the imin buffer. This routine is the non-absolute minimum version of the IxAMAX BLAS routine.
C++ API:
template <typename T>
StatusCode Min(const size_t n,
cl_mem imin_buffer, const size_t imin_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastiSmin(const size_t n,
cl_mem imin_buffer, const size_t imin_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiDmin(const size_t n,
cl_mem imin_buffer, const size_t imin_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiCmin(const size_t n,
cl_mem imin_buffer, const size_t imin_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiZmin(const size_t n,
cl_mem imin_buffer, const size_t imin_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastiHmin(const size_t n,
cl_mem imin_buffer, const size_t imin_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to MIN:
const size_t n: Integer size argument.cl_mem imin_buffer: OpenCL buffer to store the output imin vector.const size_t imin_offset: The offset in elements from the start of the output imin vector.cl_mem imin_buffer: OpenCL buffer to store the output imin vector.const size_t imin_offset: The offset in elements from the start of the output imin vector.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xGEMV: General matrix-vector multiplication
Performs the operation y = alpha * A * x + beta * y, in which x is an input vector, y is an input and output vector, A is an input matrix, and alpha and beta are scalars. The matrix A can optionally be transposed before performing the operation.
C++ API:
template <typename T>
StatusCode Gemv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSgemv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const float beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDgemv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const double beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCgemv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_float2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZgemv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_double2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to GEMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xGBMV: General banded matrix-vector multiplication
Same operation as xGEMV, but matrix A is banded instead.
C++ API:
template <typename T>
StatusCode Gbmv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n, const size_t kl, const size_t ku,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSgbmv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n, const size_t kl, const size_t ku,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const float beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDgbmv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n, const size_t kl, const size_t ku,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const double beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCgbmv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n, const size_t kl, const size_t ku,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_float2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZgbmv(const Layout layout, const Transpose a_transpose,
const size_t m, const size_t n, const size_t kl, const size_t ku,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_double2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to GBMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t m: Integer size argument.const size_t n: Integer size argument.const size_t kl: Integer size argument.const size_t ku: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHEMV: Hermitian matrix-vector multiplication
Same operation as xGEMV, but matrix A is an Hermitian matrix instead.
C++ API:
template <typename T>
StatusCode Hemv(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastChemv(const Layout layout, const Triangle triangle,
const size_t n,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_float2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZhemv(const Layout layout, const Triangle triangle,
const size_t n,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_double2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to HEMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHBMV: Hermitian banded matrix-vector multiplication
Same operation as xGEMV, but matrix A is an Hermitian banded matrix instead.
C++ API:
template <typename T>
StatusCode Hbmv(const Layout layout, const Triangle triangle,
const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastChbmv(const Layout layout, const Triangle triangle,
const size_t n, const size_t k,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_float2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZhbmv(const Layout layout, const Triangle triangle,
const size_t n, const size_t k,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_double2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to HBMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHPMV: Hermitian packed matrix-vector multiplication
Same operation as xGEMV, but matrix A is an Hermitian packed matrix instead and represented as AP.
C++ API:
template <typename T>
StatusCode Hpmv(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem ap_buffer, const size_t ap_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastChpmv(const Layout layout, const Triangle triangle,
const size_t n,
const cl_float2 alpha,
const cl_mem ap_buffer, const size_t ap_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_float2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZhpmv(const Layout layout, const Triangle triangle,
const size_t n,
const cl_double2 alpha,
const cl_mem ap_buffer, const size_t ap_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_double2 beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to HPMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem ap_buffer: OpenCL buffer to store the input AP matrix.const size_t ap_offset: The offset in elements from the start of the input AP matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSYMV: Symmetric matrix-vector multiplication
Same operation as xGEMV, but matrix A is symmetric instead.
C++ API:
template <typename T>
StatusCode Symv(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsymv(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const float beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsymv(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const double beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to SYMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSBMV: Symmetric banded matrix-vector multiplication
Same operation as xGEMV, but matrix A is symmetric and banded instead.
C++ API:
template <typename T>
StatusCode Sbmv(const Layout layout, const Triangle triangle,
const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsbmv(const Layout layout, const Triangle triangle,
const size_t n, const size_t k,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const float beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsbmv(const Layout layout, const Triangle triangle,
const size_t n, const size_t k,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const double beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to SBMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSPMV: Symmetric packed matrix-vector multiplication
Same operation as xGEMV, but matrix A is a symmetric packed matrix instead and represented as AP.
C++ API:
template <typename T>
StatusCode Spmv(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem ap_buffer, const size_t ap_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const T beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSspmv(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem ap_buffer, const size_t ap_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const float beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDspmv(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem ap_buffer, const size_t ap_offset,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const double beta,
cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_command_queue* queue, cl_event* event)
Arguments to SPMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem ap_buffer: OpenCL buffer to store the input AP matrix.const size_t ap_offset: The offset in elements from the start of the input AP matrix.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const T beta: Input scalar constant.cl_mem y_buffer: OpenCL buffer to store the output y vector.const size_t y_offset: The offset in elements from the start of the output y vector.const size_t y_inc: Stride/increment of the output y vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xTRMV: Triangular matrix-vector multiplication
Same operation as xGEMV, but matrix A is triangular instead.
C++ API:
template <typename T>
StatusCode Trmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastStrmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDtrmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCtrmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZtrmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to TRMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const Diagonal: The property of the diagonal matrix, eitherDiagonal::kNonUnit(131) for a non-unit values on the diagonal orDiagonal::kUnit(132) for a unit values on the diagonal.const size_t n: Integer size argument.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.cl_mem x_buffer: OpenCL buffer to store the output x vector.const size_t x_offset: The offset in elements from the start of the output x vector.const size_t x_inc: Stride/increment of the output x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xTBMV: Triangular banded matrix-vector multiplication
Same operation as xGEMV, but matrix A is triangular and banded instead.
C++ API:
template <typename T>
StatusCode Tbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n, const size_t k,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastStbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n, const size_t k,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDtbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n, const size_t k,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCtbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n, const size_t k,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZtbmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n, const size_t k,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to TBMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const Diagonal: The property of the diagonal matrix, eitherDiagonal::kNonUnit(131) for a non-unit values on the diagonal orDiagonal::kUnit(132) for a unit values on the diagonal.const size_t n: Integer size argument.const size_t k: Integer size argument.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.cl_mem x_buffer: OpenCL buffer to store the output x vector.const size_t x_offset: The offset in elements from the start of the output x vector.const size_t x_inc: Stride/increment of the output x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xTPMV: Triangular packed matrix-vector multiplication
Same operation as xGEMV, but matrix A is a triangular packed matrix instead and repreented as AP.
C++ API:
template <typename T>
StatusCode Tpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem ap_buffer, const size_t ap_offset,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastStpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem ap_buffer, const size_t ap_offset,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDtpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem ap_buffer, const size_t ap_offset,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCtpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem ap_buffer, const size_t ap_offset,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZtpmv(const Layout layout, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t n,
const cl_mem ap_buffer, const size_t ap_offset,
cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_command_queue* queue, cl_event* event)
Arguments to TPMV:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const Diagonal: The property of the diagonal matrix, eitherDiagonal::kNonUnit(131) for a non-unit values on the diagonal orDiagonal::kUnit(132) for a unit values on the diagonal.const size_t n: Integer size argument.const cl_mem ap_buffer: OpenCL buffer to store the input AP matrix.const size_t ap_offset: The offset in elements from the start of the input AP matrix.cl_mem x_buffer: OpenCL buffer to store the output x vector.const size_t x_offset: The offset in elements from the start of the output x vector.const size_t x_inc: Stride/increment of the output x vector.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xGER: General rank-1 matrix update
C++ API:
template <typename T>
StatusCode Ger(const Layout layout,
const size_t m, const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSger(const Layout layout,
const size_t m, const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDger(const Layout layout,
const size_t m, const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to GER:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xGERU: General rank-1 complex matrix update
C++ API:
template <typename T>
StatusCode Geru(const Layout layout,
const size_t m, const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCgeru(const Layout layout,
const size_t m, const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZgeru(const Layout layout,
const size_t m, const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to GERU:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xGERC: General rank-1 complex conjugated matrix update
C++ API:
template <typename T>
StatusCode Gerc(const Layout layout,
const size_t m, const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCgerc(const Layout layout,
const size_t m, const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZgerc(const Layout layout,
const size_t m, const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to GERC:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHER: Hermitian rank-1 matrix update
C++ API:
template <typename T>
StatusCode Her(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCher(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZher(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to HER:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHPR: Hermitian packed rank-1 matrix update
C++ API:
template <typename T>
StatusCode Hpr(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastChpr(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZhpr(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
Arguments to HPR:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_mem ap_buffer: OpenCL buffer to store the output AP matrix.const size_t ap_offset: The offset in elements from the start of the output AP matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHER2: Hermitian rank-2 matrix update
C++ API:
template <typename T>
StatusCode Her2(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCher2(const Layout layout, const Triangle triangle,
const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZher2(const Layout layout, const Triangle triangle,
const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to HER2:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHPR2: Hermitian packed rank-2 matrix update
C++ API:
template <typename T>
StatusCode Hpr2(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastChpr2(const Layout layout, const Triangle triangle,
const size_t n,
const cl_float2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZhpr2(const Layout layout, const Triangle triangle,
const size_t n,
const cl_double2 alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
Arguments to HPR2:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem ap_buffer: OpenCL buffer to store the output AP matrix.const size_t ap_offset: The offset in elements from the start of the output AP matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSYR: Symmetric rank-1 matrix update
C++ API:
template <typename T>
StatusCode Syr(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsyr(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsyr(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to SYR:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSPR: Symmetric packed rank-1 matrix update
C++ API:
template <typename T>
StatusCode Spr(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSspr(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDspr(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
Arguments to SPR:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.cl_mem ap_buffer: OpenCL buffer to store the output AP matrix.const size_t ap_offset: The offset in elements from the start of the output AP matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSYR2: Symmetric rank-2 matrix update
C++ API:
template <typename T>
StatusCode Syr2(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsyr2(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsyr2(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_command_queue* queue, cl_event* event)
Arguments to SYR2:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem a_buffer: OpenCL buffer to store the output A matrix.const size_t a_offset: The offset in elements from the start of the output A matrix.const size_t a_ld: Leading dimension of the output A matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSPR2: Symmetric packed rank-2 matrix update
C++ API:
template <typename T>
StatusCode Spr2(const Layout layout, const Triangle triangle,
const size_t n,
const T alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSspr2(const Layout layout, const Triangle triangle,
const size_t n,
const float alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDspr2(const Layout layout, const Triangle triangle,
const size_t n,
const double alpha,
const cl_mem x_buffer, const size_t x_offset, const size_t x_inc,
const cl_mem y_buffer, const size_t y_offset, const size_t y_inc,
cl_mem ap_buffer, const size_t ap_offset,
cl_command_queue* queue, cl_event* event)
Arguments to SPR2:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem x_buffer: OpenCL buffer to store the input x vector.const size_t x_offset: The offset in elements from the start of the input x vector.const size_t x_inc: Stride/increment of the input x vector.const cl_mem y_buffer: OpenCL buffer to store the input y vector.const size_t y_offset: The offset in elements from the start of the input y vector.const size_t y_inc: Stride/increment of the input y vector.cl_mem ap_buffer: OpenCL buffer to store the output AP matrix.const size_t ap_offset: The offset in elements from the start of the output AP matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xGEMM: General matrix-matrix multiplication
C++ API:
template <typename T>
StatusCode Gemm(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
const size_t m, const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const T beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSgemm(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
const size_t m, const size_t n, const size_t k,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const float beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDgemm(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
const size_t m, const size_t n, const size_t k,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const double beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCgemm(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
const size_t m, const size_t n, const size_t k,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_float2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZgemm(const Layout layout, const Transpose a_transpose, const Transpose b_transpose,
const size_t m, const size_t n, const size_t k,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_double2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to GEMM:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const Transpose: Transposing the input matrix B, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t m: Integer size argument.const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem b_buffer: OpenCL buffer to store the input B matrix.const size_t b_offset: The offset in elements from the start of the input B matrix.const size_t b_ld: Leading dimension of the input B matrix.const T beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSYMM: Symmetric matrix-matrix multiplication
C++ API:
template <typename T>
StatusCode Symm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const T beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsymm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const float beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsymm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const double beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCsymm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_float2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZsymm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_double2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to SYMM:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Side: The horizontal position of the triangular matrix, eitherSide::kLeft(141) orSide::kRight(142).const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem b_buffer: OpenCL buffer to store the input B matrix.const size_t b_offset: The offset in elements from the start of the input B matrix.const size_t b_ld: Leading dimension of the input B matrix.const T beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHEMM: Hermitian matrix-matrix multiplication
C++ API:
template <typename T>
StatusCode Hemm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const T beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastChemm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_float2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZhemm(const Layout layout, const Side side, const Triangle triangle,
const size_t m, const size_t n,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_double2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to HEMM:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Side: The horizontal position of the triangular matrix, eitherSide::kLeft(141) orSide::kRight(142).const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem b_buffer: OpenCL buffer to store the input B matrix.const size_t b_offset: The offset in elements from the start of the input B matrix.const size_t b_ld: Leading dimension of the input B matrix.const T beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSYRK: Rank-K update of a symmetric matrix
C++ API:
template <typename T>
StatusCode Syrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const T beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsyrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const float beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsyrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const double beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCsyrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_float2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZsyrk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_double2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to SYRK:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const T beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHERK: Rank-K update of a hermitian matrix
C++ API:
template <typename T>
StatusCode Herk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const T beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCherk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const float beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZherk(const Layout layout, const Triangle triangle, const Transpose a_transpose,
const size_t n, const size_t k,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const double beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to HERK:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const T beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xSYR2K: Rank-2K update of a symmetric matrix
C++ API:
template <typename T>
StatusCode Syr2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const T beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastSsyr2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const float beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDsyr2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const double beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCsyr2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_float2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZsyr2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const cl_double2 beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to SYR2K:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the packed input matrix AP, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem b_buffer: OpenCL buffer to store the input B matrix.const size_t b_offset: The offset in elements from the start of the input B matrix.const size_t b_ld: Leading dimension of the input B matrix.const T beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xHER2K: Rank-2K update of a hermitian matrix
C++ API:
template <typename T, typename U>
StatusCode Her2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const U beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastCher2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const float beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZher2k(const Layout layout, const Triangle triangle, const Transpose ab_transpose,
const size_t n, const size_t k,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
const cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
const double beta,
cl_mem c_buffer, const size_t c_offset, const size_t c_ld,
cl_command_queue* queue, cl_event* event)
Arguments to HER2K:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the packed input matrix AP, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const size_t n: Integer size argument.const size_t k: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.const cl_mem b_buffer: OpenCL buffer to store the input B matrix.const size_t b_offset: The offset in elements from the start of the input B matrix.const size_t b_ld: Leading dimension of the input B matrix.const U beta: Input scalar constant.cl_mem c_buffer: OpenCL buffer to store the output C matrix.const size_t c_offset: The offset in elements from the start of the output C matrix.const size_t c_ld: Leading dimension of the output C matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.
xTRMM: Triangular matrix-matrix multiplication
C++ API:
template <typename T>
StatusCode Trmm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t m, const size_t n,
const T alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
cl_command_queue* queue, cl_event* event)
C API:
StatusCode CLBlastStrmm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t m, const size_t n,
const float alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastDtrmm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t m, const size_t n,
const double alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastCtrmm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t m, const size_t n,
const cl_float2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
cl_command_queue* queue, cl_event* event)
StatusCode CLBlastZtrmm(const Layout layout, const Side side, const Triangle triangle, const Transpose a_transpose, const Diagonal diagonal,
const size_t m, const size_t n,
const cl_double2 alpha,
const cl_mem a_buffer, const size_t a_offset, const size_t a_ld,
cl_mem b_buffer, const size_t b_offset, const size_t b_ld,
cl_command_queue* queue, cl_event* event)
Arguments to TRMM:
const Layout: Data-layout of the matrices, eitherLayout::kRowMajor(101) for row-major layout orLayout::kColMajor(102) for column-major data-layout.const Side: The horizontal position of the triangular matrix, eitherSide::kLeft(141) orSide::kRight(142).const Triangle: The vertical position of the triangular matrix, eitherTriangle::kUpper(121) orTriangle::kLower(122).const Transpose: Transposing the input matrix A, eitherTranspose::kNo(111),Transpose::kYes(112), orTranspose::kConjugate(113) for a complex-conjugate transpose.const Diagonal: The property of the diagonal matrix, eitherDiagonal::kNonUnit(131) for a non-unit values on the diagonal orDiagonal::kUnit(132) for a unit values on the diagonal.const size_t m: Integer size argument.const size_t n: Integer size argument.const T alpha: Input scalar constant.const cl_mem a_buffer: OpenCL buffer to store the input A matrix.const size_t a_offset: The offset in elements from the start of the input A matrix.const size_t a_ld: Leading dimension of the input A matrix.cl_mem b_buffer: OpenCL buffer to store the output B matrix.const size_t b_offset: The offset in elements from the start of the output B matrix.const size_t b_ld: Leading dimension of the output B matrix.cl_command_queue* queue: Pointer to an OpenCL command queue associated with a context and device to execute the routine on.cl_event* event: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument.