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Author SHA1 Message Date
Rasmus Munk Larsen
48c635e223 Add a simple cost model to prevent Eigen's parallel GEMM from using too many threads when the inner dimension is small. 
Timing for square matrices is unchanged, but both CPU and Wall time are significantly improved for skinny matrices. The benchmarks below are for multiplying NxK * KxN matrices with test names of the form BM_OuterishProd/N/K.

Improvements in Wall time:

Run on [redacted] (12 X 3501 MHz CPUs); 2016-10-05T17:40:02.462497196-07:00
CPU: Intel Haswell with HyperThreading (6 cores) dL1:32KB dL2:256KB dL3:15MB
Benchmark                          Base (ns)  New (ns) Improvement
------------------------------------------------------------------
BM_OuterishProd/64/1                    3088      1610    +47.9%
BM_OuterishProd/64/4                    3562      2414    +32.2%
BM_OuterishProd/64/32                   8861      7815    +11.8%
BM_OuterishProd/128/1                  11363      6504    +42.8%
BM_OuterishProd/128/4                  11128      9794    +12.0%
BM_OuterishProd/128/64                 27691     27396     +1.1%
BM_OuterishProd/256/1                  33214     28123    +15.3%
BM_OuterishProd/256/4                  34312     36818     -7.3%
BM_OuterishProd/256/128               174866    176398     -0.9%
BM_OuterishProd/512/1                7963684    104224    +98.7%
BM_OuterishProd/512/4                7987913    112867    +98.6%
BM_OuterishProd/512/256              8198378   1306500    +84.1%
BM_OuterishProd/1k/1                 7356256    324432    +95.6%
BM_OuterishProd/1k/4                 8129616    331621    +95.9%
BM_OuterishProd/1k/512              27265418   7517538    +72.4%

Improvements in CPU time:

Run on [redacted] (12 X 3501 MHz CPUs); 2016-10-05T17:40:02.462497196-07:00
CPU: Intel Haswell with HyperThreading (6 cores) dL1:32KB dL2:256KB dL3:15MB
Benchmark                          Base (ns)  New (ns) Improvement
------------------------------------------------------------------
BM_OuterishProd/64/1                    6169      1608    +73.9%
BM_OuterishProd/64/4                    7117      2412    +66.1%
BM_OuterishProd/64/32                  17702     15616    +11.8%
BM_OuterishProd/128/1                  45415      6498    +85.7%
BM_OuterishProd/128/4                  44459      9786    +78.0%
BM_OuterishProd/128/64                110657    109489     +1.1%
BM_OuterishProd/256/1                 265158     28101    +89.4%
BM_OuterishProd/256/4                 274234    183885    +32.9%
BM_OuterishProd/256/128              1397160   1408776     -0.8%
BM_OuterishProd/512/1               78947048    520703    +99.3%
BM_OuterishProd/512/4               86955578   1349742    +98.4%
BM_OuterishProd/512/256             74701613  15584661    +79.1%
BM_OuterishProd/1k/1                78352601   3877911    +95.1%
BM_OuterishProd/1k/4                78521643   3966221    +94.9%
BM_OuterishProd/1k/512              258104736  89480530    +65.3%
 2016-10-06 10:33:10 -07:00
Gael Guennebaud
80b5133789 Fix compilation of qr.inverse() for column and full pivoting variants. 2016-10-06 09:55:50 +02:00
Benoit Steiner
4387433acf Increased the robustness of the reduction tests on fp16 2016-10-05 10:42:41 -07:00
Benoit Steiner
aad20d700d Increase the tolerance to numerical noise. 2016-10-05 10:39:24 -07:00
Benoit Steiner
8b69d5d730 ::rand() returns a signed integer on win32 2016-10-05 08:55:02 -07:00
Benoit Steiner
ed7a220b04 Fixed a typo that impacts windows builds 2016-10-05 08:51:31 -07:00
Benoit Steiner
ceee1c008b Silenced compilation warning 2016-10-04 18:47:53 -07:00
Benoit Steiner
698ff69450 Properly characterize the CUDA packet primitives for fp16 as device only 2016-10-04 16:53:30 -07:00
Benoit Steiner
6af5ac7e27 Cleanup the cuda executor code. 2016-10-04 08:52:13 -07:00
Benoit Steiner
2f6d1607c8 Cleaned up the random number generation code. 2016-10-04 08:38:23 -07:00
Benoit Steiner
881b90e984 Use explicit type casting to generate packets of zeros. 2016-10-04 08:23:38 -07:00
Benoit Steiner
616a7a1912 Improved support for compiling CUDA code with clang as the host compiler 2016-10-03 17:09:33 -07:00
Benoit Steiner
409e887d78 Added support for constand std::complex numbers on GPU 2016-10-03 11:06:24 -07:00
Gael Guennebaud
9d6d0dff8f bug #1317: fix performance regression with some Block expressions and clang by helping it to remove dead code. 
The trick is to get rid of the nested expression in the evaluator by copying only the required information (here, the strides).
 2016-10-01 15:37:00 +02:00
Gael Guennebaud
8b84801f7f bug #1310: workaround a compilation regression from 3.2 regarding triangular * homogeneous 2016-09-30 22:49:59 +02:00
Gael Guennebaud
67b4f45836 Fix angle range 2016-09-30 12:46:33 +02:00
Gael Guennebaud
27f3970453 Remove std:: prefix 2016-09-30 12:40:41 +02:00
Gael Guennebaud
3860a0bc8f bug #1312: Quaternion to AxisAngle conversion now ensures the angle will be in the range [-pi,pi]. This also increases accuracy when q.w is negative. 2016-09-29 23:23:35 +02:00
Gael Guennebaud
33500050c3 bug #1308: fix compilation of some small products involving nullary-expressions. 2016-09-29 09:40:44 +02:00
Benoit Steiner
27d7628f16 Updated the list of warnings to reflect the new message ids introduced in cuda 8.0 2016-09-28 17:42:59 -07:00
Benoit Steiner
2bda1b0d93 Updated the tensor sum and mean reducer to enable them to process complex numbers on cuda gpus. 2016-09-28 17:08:41 -07:00
Gael Guennebaud
f3a00dd2b5 Merged in sergiu/eigen (pull request PR-229) 
Disabled MSVC level 4 warning C4714
 2016-09-27 09:28:08 +02:00
Gael Guennebaud
892afb9416 Add debug info. 2016-09-26 23:53:57 +02:00
Gael Guennebaud
779774f98c bug #1311: fix alignment logic in some cases of (scalar*small).lazyProduct(small) 2016-09-26 23:53:40 +02:00
Benoit Steiner
6565f8d60f Made the initialization of a CUDA device thread safe. 2016-09-26 11:00:32 -07:00
Gael Guennebaud
48dfe98abd bug #1308: fix compilation of vector * rowvector::nullary. 2016-09-25 14:54:35 +02:00
Sergiu Deitsch
fe29157d02 disabled MSVC level 4 warning C4714 
The level 4 warning (/W4) warns about functions marked as __forceinline not
inlined, and generates a lot of noise.
 2016-09-25 14:25:47 +02:00
Gael Guennebaud
86caba838d bug #1304: fix Projective * scaling and Projective *= scaling 2016-09-23 13:41:21 +02:00
Gael Guennebaud
b9f7a17e47 Add missing file. 2016-09-23 10:26:08 +02:00
Benoit Steiner
1301d744f8 Made the gaussian generator usable on GPU 2016-09-22 19:04:44 -07:00
Benoit Steiner
2a69290ddb Added a specialization of Eigen::numext::real and Eigen::numext::imag for std::complex<T> to be used when compiling a cuda kernel. This is unfortunately necessary to be able to process complex numbers from a CUDA kernel on MacOS. 2016-09-22 15:52:23 -07:00
Gael Guennebaud
3946768916 Added tag 3.3-rc1 for changeset 77e27fbeee7acb289d7df809fc09a8cc8ee94eb7 2016-09-22 22:38:36 +02:00
Gael Guennebaud
77e27fbeee bump to 3.3-rc1 3.3-rc1 2016-09-22 22:37:39 +02:00
Gael Guennebaud
2ada122bc6 merge 2016-09-22 22:33:18 +02:00
Gael Guennebaud
8f2bdde373 merge 2016-09-22 22:32:55 +02:00
Gael Guennebaud
ba0f844d6b Backout changeset ce3557ca69742af477546d031d644a6dab1ff614 2016-09-22 22:28:51 +02:00
Gael Guennebaud
9bcdc8b756 Add a nullary-functor example performing index-based sub-matrices. 2016-09-22 22:27:54 +02:00
Benoit Steiner
50e3bbfc90 Calls x.imag() instead of imag(x) when x is a complex number since the former 
is a constexpr while the later isn't. This fixes compilation errors triggered by nvcc on Mac.
 2016-09-22 13:17:25 -07:00
Gael Guennebaud
ca3746c6f8 Bypass identity reflectors. 2016-09-22 22:07:13 +02:00
Felix Gruber
8bde7da086 fix documentation of LinSpaced 
The index of the highest value in a LinSpace is size-1.
 2016-09-22 14:50:07 +02:00
Gael Guennebaud
66cbabafed Add a note regarding gcc bug #72867 2016-09-22 11:18:52 +02:00
Christoph Hertzberg
4b377715d7 Do not manually add absolute path to boost-library. 
Also set C++ standard for blaze to C++14
 2016-09-22 00:10:47 +02:00
Gael Guennebaud
aecc51a3e8 fix typo 2016-09-21 21:53:00 +02:00
Gael Guennebaud
1fc3a21ed0 Disable a failure test if extended double precision is in use (x87) 2016-09-21 20:09:07 +02:00
Gael Guennebaud
9fa2c8650e Fix alignement of statically allocated temporaries in symv, and trmv. 2016-09-21 17:34:24 +02:00
Gael Guennebaud
ac5377e161 Improve cost estimation of complex division 2016-09-21 17:26:04 +02:00
Gael Guennebaud
5269d11935 Fix compilation if ICC. 2016-09-21 17:08:51 +02:00
Benoit Steiner
26f9907542 Added missing typedefs 2016-09-20 12:58:03 -07:00
RJ Ryan
608b1acd6d Don't use c++11 features and fix include. 2016-09-20 07:49:05 -07:00
RJ Ryan
b2c6dc48d9 Add CUDA-specific std::complex<T> specializations for scalar_sum_op, scalar_difference_op, scalar_product_op, and scalar_quotient_op. 2016-09-20 07:18:20 -07:00