2e4f6e1609
Added tuning results for NVIDIA GTX 1080 and Intel Core i7-4790K
2017-01-19 19:42:31 +01:00
4b3ffd9989
Added a first version of the diagonal block invert routine in preparation of TRSM
2017-01-15 17:30:00 +01:00
32b850b12b
Added tuning results for the AMD Turks GPU and the Intel Core i7-2670QM CPU
2017-01-03 20:30:56 +01:00
26e0177431
Made Intel GPUs always use the indirect version of the GEMM kernel
2016-11-29 20:47:20 +01:00
080e1be684
Improved the default parameters for cases with non-common parameters across all devices
2016-11-26 16:38:17 +01:00
6eeb1180fd
Changed the GEMM kernel selection parameters for Skylake GPUs to always favour the regular kernel
2016-11-19 22:15:33 +01:00
746d688e07
Updated the tuning results for the Intel Skylake ULT GT2 GPU
2016-11-15 22:42:04 +01:00
ec687afa75
Added tuning results for GeForce GTX TITAN Black
2016-10-24 19:49:10 +02:00
c925fe463f
Added tuning results for the AMD Tonga GPU
2016-10-22 16:25:31 +02:00
b0ff11acf0
Moved files around a bit; created a utilities subfolder
2016-10-22 15:36:48 +02:00
b98af44fcf
treewide: use C++ exceptions properly
...
Since the codebase is designed around proper C++ idioms such as RAII, it
makes sense to only use C++ exceptions internally instead of mixing
exceptions and error codes. The exceptions are now caught at top level
to preserve compatibility with the existing error code-based API.
Note that we deliberately do not catch C++ runtime errors (such as
`std::bad_alloc`) nor logic errors (aka failed assertions) because no
actual handling can ever happen for such errors.
However, in the C interface we do catch _all_ exceptions (...) and
convert them into a wild-card error code.
2016-10-22 08:45:25 +03:00
0f9311d46a
Fixed an issue with a growing database: the database is now a global variable in a namespace and its container uses const-pointers to the actual data
2016-10-14 20:56:32 +02:00
ebb505b783
Added tuning results for Intel HD Graphics IvyBridge GPU
2016-10-13 12:18:28 +02:00
f88c50522d
Fixed an issue with const members of structs in the database
2016-10-10 22:24:05 +02:00
fcac81bfef
First fixes towards compilation on Visual Studio 2013
2016-10-10 20:37:45 +02:00
08ee57f494
Updated the tuning results for the GTX 750 Ti GPU
2016-10-10 16:41:41 +02:00
7c228f6a67
Changed the thresholds for the direct/indirect GEMM kernels for NVIDIA and Intel GPUs
2016-10-10 16:01:02 +02:00
7baac46e72
Fixed a performance bug for Intel Iris Pro GPUs due to incorrect tuning results
2016-10-08 21:56:06 +02:00
b698e45478
Added first tuning results for the single-kernel direct GEMM implementation
2016-10-06 21:13:14 +02:00
a3e67f2be2
Added a kernel selection database to select between the direct and indirect GEMM kernels
2016-10-06 19:51:12 +02:00
a459920105
Added padding to the local memory of the GEMM direct kernel
2016-10-01 16:58:53 +02:00
73d135c2ce
Added a first version of a tuner for the GEMM direct kernel; collapsed MWGD, NWGD and KWGD into one WGD parameter
2016-09-25 14:48:34 +02:00
669f43aed6
Separated the tuning parameters of the new direct GEMM kernel from the indirect version
2016-09-25 13:52:08 +02:00
aa3dffe356
Added XgemvFastRot and Xgemm 16-bit tuning results: just defaults which are now automatically taken from 32-bit if there are no entries at all
2016-09-12 20:13:38 +02:00
b5a67f86ec
Complete re-write of the database script. Changed Pandas for the much faster and convienient plain JSON/dict data-type
2016-09-11 21:29:28 +02:00
e21f32bc99
Updated database based on exhaustive tuning results for GEMM for the R9 M370X GPU
2016-09-10 14:00:43 +02:00
3daba70997
Updated the database script to remove duplicate entries: keeps only the best-performing cases for a specific parameters combination
2016-09-10 11:12:09 +02:00
521bf6cdfc
Added tuning results for Intel Broadwell 5500 GT2 GPU
2016-09-03 16:43:23 +02:00
19574b2519
Updated tuning results for Haswell GT2 Mobile GPU; fixed database script to handle duplicate entries of different runs
2016-09-03 12:45:11 +02:00
0c0f0ac7f9
Also changed the default-default for unknown device types to use the same method as for known device groups
2016-08-21 20:35:20 +02:00
7d5631b7e4
Updated the database script to calculate the relative best performance of tuning results common for a device/vendor type
2016-08-15 21:01:07 +02:00
de1afe168d
Removed all old tuning results for the XgemvFastRot kernel; re-added for a couple of devices
2016-07-25 22:57:23 +02:00
2582f0290a
Moved the XgemvFast and XgemvFastRot tuning database into a separate file
2016-07-25 22:43:49 +02:00
0252df731a
Merge branch 'development' into gemv_performance
2016-07-24 17:06:27 +02:00
ffa35c623a
Minor improvements after merging in groundwork for custom tuning parameters and kernels
2016-07-24 17:00:21 +02:00
7a4f963763
Further improvements to the XgemvFastRot kernel, properly enables coalescing now
2016-07-23 14:52:32 +02:00
75fe8235f7
Improved the XgemvFastRot kernel by tiled loading of the input matrix A, enabling better memory performance
2016-07-23 10:20:11 +02:00
e4e1f05079
clblast::Database, clblast::Routine: implement "database overlays" provided by routine implementation
2016-07-22 11:15:52 +03:00
57f09178d8
Added tuning results for AMD Oland and for Intel Graphics HD 530
2016-07-10 11:46:44 +02:00
9683b50c55
Added tuning results for GTX670, GTX750, and GTX1070 (thanks to gcp)
2016-07-03 20:30:47 +02:00
66908ef5cd
Added tuning results for 'Intel(R) HD Graphics Haswell Ultrabook GT2 Mobile' (thanks to OursDesCavernes)
2016-06-19 14:59:50 +02:00
61203453aa
Renamed all C++ source files to .cpp to match the .hpp extension better
2016-06-19 13:55:49 +02:00
f726fbdc9f
Moved all headers into the source tree, changed headers to .hpp extension
2016-06-18 20:20:13 +02:00
Cedric Nugteren
Ivan Shapovalov