qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
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/*
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* Copyright (C) 2016, Emilio G. Cota <cota@braap.org>
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*
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* License: GNU GPL, version 2 or later.
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* See the COPYING file in the top-level directory.
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*/
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#include "qemu/osdep.h"
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#include "qemu/processor.h"
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#include "qemu/atomic.h"
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#include "qemu/qht.h"
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#include "qemu/rcu.h"
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2018-10-21 00:49:53 +02:00
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#include "qemu/xxhash.h"
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
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struct thread_stats {
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size_t rd;
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size_t not_rd;
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size_t in;
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size_t not_in;
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size_t rm;
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size_t not_rm;
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size_t rz;
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size_t not_rz;
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};
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struct thread_info {
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void (*func)(struct thread_info *);
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struct thread_stats stats;
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uint64_t r;
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bool write_op; /* writes alternate between insertions and removals */
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bool resize_down;
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} QEMU_ALIGNED(64); /* avoid false sharing among threads */
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static struct qht ht;
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static QemuThread *rw_threads;
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#define DEFAULT_RANGE (4096)
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#define DEFAULT_QHT_N_ELEMS DEFAULT_RANGE
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static unsigned int duration = 1;
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static unsigned int n_rw_threads = 1;
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static unsigned long lookup_range = DEFAULT_RANGE;
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static unsigned long update_range = DEFAULT_RANGE;
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static size_t init_range = DEFAULT_RANGE;
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static size_t init_size = DEFAULT_RANGE;
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static size_t n_ready_threads;
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static long populate_offset;
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static long *keys;
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static size_t resize_min;
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static size_t resize_max;
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static struct thread_info *rz_info;
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static unsigned long resize_delay = 1000;
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static double resize_rate; /* 0.0 to 1.0 */
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static unsigned int n_rz_threads = 1;
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static QemuThread *rz_threads;
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2018-09-10 20:31:54 +02:00
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static bool precompute_hash;
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
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static double update_rate; /* 0.0 to 1.0 */
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static uint64_t update_threshold;
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static uint64_t resize_threshold;
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static size_t qht_n_elems = DEFAULT_QHT_N_ELEMS;
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static int qht_mode;
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static bool test_start;
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static bool test_stop;
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static struct thread_info *rw_info;
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static const char commands_string[] =
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" -d = duration, in seconds\n"
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" -n = number of threads\n"
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"\n"
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" -o = offset at which keys start\n"
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2018-11-23 23:39:04 +01:00
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" -p = precompute hashes\n"
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
"\n"
|
|
|
|
" -g = set -s,-k,-K,-l,-r to the same value\n"
|
|
|
|
" -s = initial size hint\n"
|
|
|
|
" -k = initial number of keys\n"
|
|
|
|
" -K = initial range of keys (will be rounded up to pow2)\n"
|
|
|
|
" -l = lookup range of keys (will be rounded up to pow2)\n"
|
|
|
|
" -r = update range of keys (will be rounded up to pow2)\n"
|
|
|
|
"\n"
|
|
|
|
" -u = update rate (0.0 to 100.0), 50/50 split of insertions/removals\n"
|
|
|
|
"\n"
|
|
|
|
" -R = enable auto-resize\n"
|
|
|
|
" -S = resize rate (0.0 to 100.0)\n"
|
|
|
|
" -D = delay (in us) between potential resizes\n"
|
|
|
|
" -N = number of resize threads";
|
|
|
|
|
|
|
|
static void usage_complete(int argc, char *argv[])
|
|
|
|
{
|
|
|
|
fprintf(stderr, "Usage: %s [options]\n", argv[0]);
|
|
|
|
fprintf(stderr, "options:\n%s\n", commands_string);
|
|
|
|
exit(-1);
|
|
|
|
}
|
|
|
|
|
2017-07-12 00:47:38 +02:00
|
|
|
static bool is_equal(const void *ap, const void *bp)
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
{
|
2017-07-12 00:47:38 +02:00
|
|
|
const long *a = ap;
|
|
|
|
const long *b = bp;
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
|
|
|
|
return *a == *b;
|
|
|
|
}
|
|
|
|
|
2018-09-10 20:31:54 +02:00
|
|
|
static uint32_t h(unsigned long v)
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
{
|
2018-10-21 00:46:28 +02:00
|
|
|
return qemu_xxhash2(v);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
}
|
|
|
|
|
2018-09-10 20:31:54 +02:00
|
|
|
static uint32_t hval(unsigned long v)
|
|
|
|
{
|
|
|
|
return v;
|
|
|
|
}
|
|
|
|
|
|
|
|
static uint32_t (*hfunc)(unsigned long v) = h;
|
|
|
|
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
/*
|
|
|
|
* From: https://en.wikipedia.org/wiki/Xorshift
|
|
|
|
* This is faster than rand_r(), and gives us a wider range (RAND_MAX is only
|
|
|
|
* guaranteed to be >= INT_MAX).
|
|
|
|
*/
|
|
|
|
static uint64_t xorshift64star(uint64_t x)
|
|
|
|
{
|
|
|
|
x ^= x >> 12; /* a */
|
|
|
|
x ^= x << 25; /* b */
|
|
|
|
x ^= x >> 27; /* c */
|
|
|
|
return x * UINT64_C(2685821657736338717);
|
|
|
|
}
|
|
|
|
|
|
|
|
static void do_rz(struct thread_info *info)
|
|
|
|
{
|
|
|
|
struct thread_stats *stats = &info->stats;
|
|
|
|
|
|
|
|
if (info->r < resize_threshold) {
|
|
|
|
size_t size = info->resize_down ? resize_min : resize_max;
|
|
|
|
bool resized;
|
|
|
|
|
|
|
|
resized = qht_resize(&ht, size);
|
|
|
|
info->resize_down = !info->resize_down;
|
|
|
|
|
|
|
|
if (resized) {
|
|
|
|
stats->rz++;
|
|
|
|
} else {
|
|
|
|
stats->not_rz++;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
g_usleep(resize_delay);
|
|
|
|
}
|
|
|
|
|
|
|
|
static void do_rw(struct thread_info *info)
|
|
|
|
{
|
|
|
|
struct thread_stats *stats = &info->stats;
|
|
|
|
uint32_t hash;
|
|
|
|
long *p;
|
|
|
|
|
|
|
|
if (info->r >= update_threshold) {
|
|
|
|
bool read;
|
|
|
|
|
|
|
|
p = &keys[info->r & (lookup_range - 1)];
|
2018-09-10 20:31:54 +02:00
|
|
|
hash = hfunc(*p);
|
2017-07-12 00:47:38 +02:00
|
|
|
read = qht_lookup(&ht, p, hash);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
if (read) {
|
|
|
|
stats->rd++;
|
|
|
|
} else {
|
|
|
|
stats->not_rd++;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
p = &keys[info->r & (update_range - 1)];
|
2018-09-10 20:31:54 +02:00
|
|
|
hash = hfunc(*p);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
if (info->write_op) {
|
|
|
|
bool written = false;
|
|
|
|
|
2017-07-12 00:47:38 +02:00
|
|
|
if (qht_lookup(&ht, p, hash) == NULL) {
|
2017-07-12 00:48:21 +02:00
|
|
|
written = qht_insert(&ht, p, hash, NULL);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
}
|
|
|
|
if (written) {
|
|
|
|
stats->in++;
|
|
|
|
} else {
|
|
|
|
stats->not_in++;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
bool removed = false;
|
|
|
|
|
2017-07-12 00:47:38 +02:00
|
|
|
if (qht_lookup(&ht, p, hash)) {
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
removed = qht_remove(&ht, p, hash);
|
|
|
|
}
|
|
|
|
if (removed) {
|
|
|
|
stats->rm++;
|
|
|
|
} else {
|
|
|
|
stats->not_rm++;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
info->write_op = !info->write_op;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
static void *thread_func(void *p)
|
|
|
|
{
|
|
|
|
struct thread_info *info = p;
|
|
|
|
|
|
|
|
rcu_register_thread();
|
|
|
|
|
|
|
|
atomic_inc(&n_ready_threads);
|
2016-10-14 11:54:51 +02:00
|
|
|
while (!atomic_read(&test_start)) {
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
cpu_relax();
|
|
|
|
}
|
|
|
|
|
|
|
|
rcu_read_lock();
|
|
|
|
while (!atomic_read(&test_stop)) {
|
|
|
|
info->r = xorshift64star(info->r);
|
|
|
|
info->func(info);
|
|
|
|
}
|
|
|
|
rcu_read_unlock();
|
|
|
|
|
|
|
|
rcu_unregister_thread();
|
|
|
|
return NULL;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* sets everything except info->func */
|
|
|
|
static void prepare_thread_info(struct thread_info *info, int i)
|
|
|
|
{
|
|
|
|
/* seed for the RNG; each thread should have a different one */
|
|
|
|
info->r = (i + 1) ^ time(NULL);
|
|
|
|
/* the first update will be a write */
|
|
|
|
info->write_op = true;
|
|
|
|
/* the first resize will be down */
|
|
|
|
info->resize_down = true;
|
|
|
|
|
|
|
|
memset(&info->stats, 0, sizeof(info->stats));
|
|
|
|
}
|
|
|
|
|
|
|
|
static void
|
|
|
|
th_create_n(QemuThread **threads, struct thread_info **infos, const char *name,
|
|
|
|
void (*func)(struct thread_info *), int offset, int n)
|
|
|
|
{
|
|
|
|
struct thread_info *info;
|
|
|
|
QemuThread *th;
|
|
|
|
int i;
|
|
|
|
|
|
|
|
th = g_malloc(sizeof(*th) * n);
|
|
|
|
*threads = th;
|
|
|
|
|
|
|
|
info = qemu_memalign(64, sizeof(*info) * n);
|
|
|
|
*infos = info;
|
|
|
|
|
|
|
|
for (i = 0; i < n; i++) {
|
|
|
|
prepare_thread_info(&info[i], offset + i);
|
|
|
|
info[i].func = func;
|
|
|
|
qemu_thread_create(&th[i], name, thread_func, &info[i],
|
|
|
|
QEMU_THREAD_JOINABLE);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
static void create_threads(void)
|
|
|
|
{
|
|
|
|
th_create_n(&rw_threads, &rw_info, "rw", do_rw, 0, n_rw_threads);
|
|
|
|
th_create_n(&rz_threads, &rz_info, "rz", do_rz, n_rw_threads, n_rz_threads);
|
|
|
|
}
|
|
|
|
|
|
|
|
static void pr_params(void)
|
|
|
|
{
|
|
|
|
printf("Parameters:\n");
|
|
|
|
printf(" duration: %d s\n", duration);
|
|
|
|
printf(" # of threads: %u\n", n_rw_threads);
|
|
|
|
printf(" initial # of keys: %zu\n", init_size);
|
|
|
|
printf(" initial size hint: %zu\n", qht_n_elems);
|
|
|
|
printf(" auto-resize: %s\n",
|
|
|
|
qht_mode & QHT_MODE_AUTO_RESIZE ? "on" : "off");
|
|
|
|
if (resize_rate) {
|
|
|
|
printf(" resize_rate: %f%%\n", resize_rate * 100.0);
|
|
|
|
printf(" resize range: %zu-%zu\n", resize_min, resize_max);
|
|
|
|
printf(" # resize threads %u\n", n_rz_threads);
|
|
|
|
}
|
|
|
|
printf(" update rate: %f%%\n", update_rate * 100.0);
|
|
|
|
printf(" offset: %ld\n", populate_offset);
|
|
|
|
printf(" initial key range: %zu\n", init_range);
|
|
|
|
printf(" lookup range: %lu\n", lookup_range);
|
|
|
|
printf(" update range: %lu\n", update_range);
|
|
|
|
}
|
|
|
|
|
|
|
|
static void do_threshold(double rate, uint64_t *threshold)
|
|
|
|
{
|
|
|
|
if (rate == 1.0) {
|
|
|
|
*threshold = UINT64_MAX;
|
|
|
|
} else {
|
2020-06-17 22:13:09 +02:00
|
|
|
*threshold = (rate * 0xffff000000000000ull)
|
|
|
|
+ (rate * 0x0000ffffffffffffull);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
static void htable_init(void)
|
|
|
|
{
|
|
|
|
unsigned long n = MAX(init_range, update_range);
|
|
|
|
uint64_t r = time(NULL);
|
|
|
|
size_t retries = 0;
|
|
|
|
size_t i;
|
|
|
|
|
|
|
|
/* avoid allocating memory later by allocating all the keys now */
|
|
|
|
keys = g_malloc(sizeof(*keys) * n);
|
|
|
|
for (i = 0; i < n; i++) {
|
2018-09-10 20:31:54 +02:00
|
|
|
long val = populate_offset + i;
|
|
|
|
|
|
|
|
keys[i] = precompute_hash ? h(val) : hval(val);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
}
|
|
|
|
|
|
|
|
/* some sanity checks */
|
|
|
|
g_assert_cmpuint(lookup_range, <=, n);
|
|
|
|
|
|
|
|
/* compute thresholds */
|
|
|
|
do_threshold(update_rate, &update_threshold);
|
|
|
|
do_threshold(resize_rate, &resize_threshold);
|
|
|
|
|
|
|
|
if (resize_rate) {
|
|
|
|
resize_min = n / 2;
|
|
|
|
resize_max = n;
|
|
|
|
assert(resize_min < resize_max);
|
|
|
|
} else {
|
|
|
|
n_rz_threads = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
/* initialize the hash table */
|
2017-07-12 00:47:38 +02:00
|
|
|
qht_init(&ht, is_equal, qht_n_elems, qht_mode);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
assert(init_size <= init_range);
|
|
|
|
|
|
|
|
pr_params();
|
|
|
|
|
|
|
|
fprintf(stderr, "Initialization: populating %zu items...", init_size);
|
|
|
|
for (i = 0; i < init_size; i++) {
|
|
|
|
for (;;) {
|
|
|
|
uint32_t hash;
|
|
|
|
long *p;
|
|
|
|
|
|
|
|
r = xorshift64star(r);
|
|
|
|
p = &keys[r & (init_range - 1)];
|
2018-09-10 20:31:54 +02:00
|
|
|
hash = hfunc(*p);
|
2017-07-12 00:48:21 +02:00
|
|
|
if (qht_insert(&ht, p, hash, NULL)) {
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
break;
|
|
|
|
}
|
|
|
|
retries++;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
fprintf(stderr, " populated after %zu retries\n", retries);
|
|
|
|
}
|
|
|
|
|
|
|
|
static void add_stats(struct thread_stats *s, struct thread_info *info, int n)
|
|
|
|
{
|
|
|
|
int i;
|
|
|
|
|
|
|
|
for (i = 0; i < n; i++) {
|
|
|
|
struct thread_stats *stats = &info[i].stats;
|
|
|
|
|
|
|
|
s->rd += stats->rd;
|
|
|
|
s->not_rd += stats->not_rd;
|
|
|
|
|
|
|
|
s->in += stats->in;
|
|
|
|
s->not_in += stats->not_in;
|
|
|
|
|
|
|
|
s->rm += stats->rm;
|
|
|
|
s->not_rm += stats->not_rm;
|
|
|
|
|
|
|
|
s->rz += stats->rz;
|
|
|
|
s->not_rz += stats->not_rz;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
static void pr_stats(void)
|
|
|
|
{
|
|
|
|
struct thread_stats s = {};
|
|
|
|
double tx;
|
|
|
|
|
|
|
|
add_stats(&s, rw_info, n_rw_threads);
|
|
|
|
add_stats(&s, rz_info, n_rz_threads);
|
|
|
|
|
|
|
|
printf("Results:\n");
|
|
|
|
|
|
|
|
if (resize_rate) {
|
|
|
|
printf(" Resizes: %zu (%.2f%% of %zu)\n",
|
|
|
|
s.rz, (double)s.rz / (s.rz + s.not_rz) * 100, s.rz + s.not_rz);
|
|
|
|
}
|
|
|
|
|
|
|
|
printf(" Read: %.2f M (%.2f%% of %.2fM)\n",
|
|
|
|
(double)s.rd / 1e6,
|
|
|
|
(double)s.rd / (s.rd + s.not_rd) * 100,
|
|
|
|
(double)(s.rd + s.not_rd) / 1e6);
|
|
|
|
printf(" Inserted: %.2f M (%.2f%% of %.2fM)\n",
|
|
|
|
(double)s.in / 1e6,
|
|
|
|
(double)s.in / (s.in + s.not_in) * 100,
|
|
|
|
(double)(s.in + s.not_in) / 1e6);
|
|
|
|
printf(" Removed: %.2f M (%.2f%% of %.2fM)\n",
|
|
|
|
(double)s.rm / 1e6,
|
|
|
|
(double)s.rm / (s.rm + s.not_rm) * 100,
|
|
|
|
(double)(s.rm + s.not_rm) / 1e6);
|
|
|
|
|
|
|
|
tx = (s.rd + s.not_rd + s.in + s.not_in + s.rm + s.not_rm) / 1e6 / duration;
|
|
|
|
printf(" Throughput: %.2f MT/s\n", tx);
|
|
|
|
printf(" Throughput/thread: %.2f MT/s/thread\n", tx / n_rw_threads);
|
|
|
|
}
|
|
|
|
|
|
|
|
static void run_test(void)
|
|
|
|
{
|
|
|
|
int i;
|
|
|
|
|
|
|
|
while (atomic_read(&n_ready_threads) != n_rw_threads + n_rz_threads) {
|
|
|
|
cpu_relax();
|
|
|
|
}
|
2019-01-11 14:50:02 +01:00
|
|
|
|
2016-10-14 11:54:51 +02:00
|
|
|
atomic_set(&test_start, true);
|
2019-01-11 14:50:02 +01:00
|
|
|
g_usleep(duration * G_USEC_PER_SEC);
|
2016-10-14 11:54:51 +02:00
|
|
|
atomic_set(&test_stop, true);
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
|
|
|
|
for (i = 0; i < n_rw_threads; i++) {
|
|
|
|
qemu_thread_join(&rw_threads[i]);
|
|
|
|
}
|
|
|
|
for (i = 0; i < n_rz_threads; i++) {
|
|
|
|
qemu_thread_join(&rz_threads[i]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
static void parse_args(int argc, char *argv[])
|
|
|
|
{
|
|
|
|
int c;
|
|
|
|
|
|
|
|
for (;;) {
|
2018-09-10 20:31:54 +02:00
|
|
|
c = getopt(argc, argv, "d:D:g:k:K:l:hn:N:o:pr:Rs:S:u:");
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
if (c < 0) {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
switch (c) {
|
|
|
|
case 'd':
|
|
|
|
duration = atoi(optarg);
|
|
|
|
break;
|
|
|
|
case 'D':
|
|
|
|
resize_delay = atol(optarg);
|
|
|
|
break;
|
|
|
|
case 'g':
|
|
|
|
init_range = pow2ceil(atol(optarg));
|
|
|
|
lookup_range = pow2ceil(atol(optarg));
|
|
|
|
update_range = pow2ceil(atol(optarg));
|
|
|
|
qht_n_elems = atol(optarg);
|
|
|
|
init_size = atol(optarg);
|
|
|
|
break;
|
|
|
|
case 'h':
|
|
|
|
usage_complete(argc, argv);
|
|
|
|
exit(0);
|
|
|
|
case 'k':
|
|
|
|
init_size = atol(optarg);
|
|
|
|
break;
|
|
|
|
case 'K':
|
|
|
|
init_range = pow2ceil(atol(optarg));
|
|
|
|
break;
|
|
|
|
case 'l':
|
|
|
|
lookup_range = pow2ceil(atol(optarg));
|
|
|
|
break;
|
|
|
|
case 'n':
|
|
|
|
n_rw_threads = atoi(optarg);
|
|
|
|
break;
|
|
|
|
case 'N':
|
|
|
|
n_rz_threads = atoi(optarg);
|
|
|
|
break;
|
|
|
|
case 'o':
|
|
|
|
populate_offset = atol(optarg);
|
|
|
|
break;
|
2018-09-10 20:31:54 +02:00
|
|
|
case 'p':
|
|
|
|
precompute_hash = true;
|
|
|
|
hfunc = hval;
|
|
|
|
break;
|
qht: add qht-bench, a performance benchmark
This serves as a performance benchmark as well as a stress test
for QHT. We can tweak quite a number of things, including the
number of resize threads and how frequently resizes are triggered.
A performance comparison of QHT vs CLHT[1] and ck_hs[2] using
this same benchmark program can be found here:
http://imgur.com/a/0Bms4
The tests are run on a 64-core AMD Opteron 6376, pinning threads
to cores favoring same-socket cores. For each run, qht-bench is
invoked with:
$ tests/qht-bench -d $duration -n $n -u $u -g $range
, where $duration is in seconds, $n is the number of threads,
$u is the update rate (0.0 to 100.0), and $range is the number
of keys.
Note that ck_hs's performance drops significantly as writes go
up, since it requires an external lock (I used a ck_spinlock)
around every write.
Also, note that CLHT instead of using a seqlock, relies on an
allocator that does not ever return the same address during the
same read-critical section. This gives it a slight performance
advantage over QHT on read-heavy workloads, since the seqlock
writes aren't there.
[1] CLHT: https://github.com/LPD-EPFL/CLHT
https://infoscience.epfl.ch/record/207109/files/ascy_asplos15.pdf
[2] ck_hs: http://concurrencykit.org/
http://backtrace.io/blog/blog/2015/03/13/workload-specialization/
A few of those plots are shown in text here, since that site
might not be online forever. Throughput is on Mops/s on the Y axis.
200K keys, 0 % updates
450 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + +N+ |
400 ++ ---+E+ ++
| +++---- |
350 ++ 9 ++------+------++ --+E+ -+H+ ++
| | +H+- | -+N+---- ---- +++ |
300 ++ 8 ++ +E+ ++ -----+E+ --+H+ ++
| | +++ | -+N+-----+H+-- |
250 ++ 7 ++------+------++ +++-----+E+---- ++
200 ++ 1 -+E+-----+H+ ++
| ---- qht +-E--+ |
150 ++ -+E+ clht +-H--+ ++
| ---- ck +-N--+ |
100 ++ +E+ ++
| ---- |
50 ++ -+E+ ++
| +E+E+ + + + + + + + + |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 1 % updates
350 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + -+E+ |
300 ++ -----+H+ ++
| +E+-- |
| 9 ++------+------++ +++---- |
250 ++ | +E+ -- | -+E+ ++
| 8 ++ -- ++ ---- |
200 ++ | +++- | +++ ---+E+ ++
| 7 ++------N------++ -+E+-- qht +-E--+ |
| 1 +++---- clht +-H--+ |
150 ++ -+E+ ck +-N--+ ++
| ---- |
100 ++ +E+ ++
| ---- |
| -+E+ |
50 ++ +H+-+N+----+N+-----+N+------ ++
| +E+E+ + + + +N+-----+N+-----+N+----+N+-----+N+ |
0 ++--E------+------+-------+-------+-------+-------+------+-------+--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 20 % updates
300 ++--+------+------+-------+-------+-------+-------+------+-------+--++
| + + + + + + + + + |
| -+H+ |
250 ++ ---- ++
| 9 ++------+------++ --+H+ ---+E+ |
| 8 ++ +H+-- ++ -+H+----+E+-- |
200 ++ | +E+ --| -----+E+-- +++ ++
| 7 ++ + ---- ++ ---+H+---- +++ qht +-E--+ |
150 ++ 6 ++------N------++ -+H+-----+E+ clht +-H--+ ++
| 1 -----+E+-- ck +-N--+ |
| -+H+---- |
100 ++ -----+E+ ++
| +E+-- |
| ----+++ |
50 ++ -+E+ ++
| +E+ +++ |
| +E+N+-+N+-----+ + + + + + + |
0 ++--E------+------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
200K keys, 100 % updates qht +-E--+
clht +-H--+
160 ++--+------+------+-------+-------+-------+-------+---ck-+-N-----+--++
| + + + + + + + + ----H |
140 ++ +H+-- -+E+ ++
| +++---- ---- |
120 ++ 8 ++------+------++ -+H+ +E+ ++
| 7 ++ +H+---- ++ ---- +++---- |
100 ++ | +E+ | +++ ---+H+ -+E+ ++
| 6 ++ +++ ++ -+H+-- +++---- |
80 ++ 5 ++------N----------+E+-----+E+ ++
| 1 -+H+---- +++ |
| -----+E+ |
60 ++ +H+---- +++ ++
| ----+E+ |
40 ++ +H+---- ++
| --+E+ |
20 ++ +E+ ++
| +EE+ + + + + + + + + |
0 ++--+N-N---N------N-------N-------N-------N-------N------N-------N--++
1 8 16 24 32 40 48 56 64
Number of threads
Signed-off-by: Emilio G. Cota <cota@braap.org>
Message-Id: <1465412133-3029-13-git-send-email-cota@braap.org>
Signed-off-by: Richard Henderson <rth@twiddle.net>
2016-06-08 20:55:30 +02:00
|
|
|
case 'r':
|
|
|
|
update_range = pow2ceil(atol(optarg));
|
|
|
|
break;
|
|
|
|
case 'R':
|
|
|
|
qht_mode |= QHT_MODE_AUTO_RESIZE;
|
|
|
|
break;
|
|
|
|
case 's':
|
|
|
|
qht_n_elems = atol(optarg);
|
|
|
|
break;
|
|
|
|
case 'S':
|
|
|
|
resize_rate = atof(optarg) / 100.0;
|
|
|
|
if (resize_rate > 1.0) {
|
|
|
|
resize_rate = 1.0;
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
case 'u':
|
|
|
|
update_rate = atof(optarg) / 100.0;
|
|
|
|
if (update_rate > 1.0) {
|
|
|
|
update_rate = 1.0;
|
|
|
|
}
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
int main(int argc, char *argv[])
|
|
|
|
{
|
|
|
|
parse_args(argc, argv);
|
|
|
|
htable_init();
|
|
|
|
create_threads();
|
|
|
|
run_test();
|
|
|
|
pr_stats();
|
|
|
|
return 0;
|
|
|
|
}
|