Benoit Steiner
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609b3337a7
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Print some information to stderr when a CUDA kernel fails
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2016-02-27 20:42:57 +00:00 |
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Benoit Steiner
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1031b31571
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Improved the README
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2016-02-27 20:22:04 +00:00 |
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Gael Guennebaud
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8e6faab51e
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bug #1172: make valuePtr and innderIndexPtr properly return null for empty matrices.
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2016-02-27 14:55:40 +01:00 |
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Benoit Steiner
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ac2e6e0d03
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Properly vectorized the random number generators
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2016-02-26 13:52:24 -08:00 |
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Benoit Steiner
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caa54d888f
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Made the TensorIndexList usable on GPU without having to use the -relaxed-constexpr compilation flag
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2016-02-26 12:38:18 -08:00 |
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Benoit Steiner
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93485d86bc
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Added benchmarks for type casting of float16
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2016-02-26 12:24:58 -08:00 |
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Benoit Steiner
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002824e32d
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Added benchmarks for fp16
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2016-02-26 12:21:25 -08:00 |
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Benoit Steiner
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2cd32cad27
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Reverted previous commit since it caused more problems than it solved
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2016-02-26 13:21:44 +00:00 |
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Benoit Steiner
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d9d05dd96e
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Fixed handling of long doubles on aarch64
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2016-02-26 04:13:58 -08:00 |
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Benoit Steiner
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af199b4658
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Made the CUDA architecture level a build setting.
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2016-02-25 09:06:18 -08:00 |
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Benoit Steiner
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c36c09169e
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Fixed a typo in the reduction code that could prevent large full reductionsx from running properly on old cuda devices.
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2016-02-24 17:07:25 -08:00 |
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Benoit Steiner
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7a01cb8e4b
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Marked the And and Or reducers as stateless.
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2016-02-24 16:43:01 -08:00 |
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Gael Guennebaud
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91e1375ba9
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merge
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2016-02-23 11:09:05 +01:00 |
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Gael Guennebaud
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055000a424
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Fix startRow()/startCol() for dense Block with direct access:
the initial implementation failed for empty rows/columns for which are ambiguous.
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2016-02-23 11:07:59 +01:00 |
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Benoit Steiner
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1d9256f7db
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Updated the padding code to work with half floats
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2016-02-23 05:51:22 +00:00 |
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Benoit Steiner
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8cb9bfab87
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Extended the tensor benchmark suite to support types other than floats
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2016-02-23 05:28:02 +00:00 |
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Benoit Steiner
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f442a5a5b3
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Updated the tensor benchmarking code to work with compilers that don't support cxx11.
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2016-02-23 04:15:48 +00:00 |
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Benoit Steiner
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72d2cf642e
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Deleted the coordinate based evaluation of tensor expressions, since it's hardly ever used and started to cause some issues with some versions of xcode.
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2016-02-22 15:29:41 -08:00 |
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Benoit Steiner
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6270d851e3
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Declare the half float type as arithmetic.
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2016-02-22 13:59:33 -08:00 |
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Benoit Steiner
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5cd00068c0
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include <iostream> in the tensor header since we now use it to better report cuda initialization errors
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2016-02-22 13:59:03 -08:00 |
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Benoit Steiner
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257b640463
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Fixed compilation warning generated by clang
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2016-02-21 22:43:37 -08:00 |
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Benoit Steiner
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584832cb3c
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Implemented the ptranspose function on half floats
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2016-02-21 12:44:53 -08:00 |
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Benoit Steiner
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e644f60907
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Pulled latest updates from trunk
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2016-02-21 20:24:59 +00:00 |
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Benoit Steiner
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95fceb6452
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Added the ability to compute the absolute value of a half float
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2016-02-21 20:24:11 +00:00 |
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Benoit Steiner
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ed69cbeef0
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Added some debugging information to the test to figure out why it fails sometimes
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2016-02-21 11:20:20 -08:00 |
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Benoit Steiner
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96a24b05cc
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Optimized casting of tensors in the case where the casting happens to be a no-op
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2016-02-21 11:16:15 -08:00 |
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Benoit Steiner
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203490017f
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Prevent unecessary Index to int conversions
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2016-02-21 08:49:36 -08:00 |
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Benoit Steiner
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9ff269a1d3
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Moved some of the fp16 operators outside the Eigen namespace to workaround some nvcc limitations.
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2016-02-20 07:47:23 +00:00 |
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Benoit Steiner
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1e6fe6f046
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Fixed the float16 tensor test.
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2016-02-20 07:44:17 +00:00 |
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Rasmus Munk Larsen
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8eb127022b
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Get rid of duplicate code.
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2016-02-19 16:33:30 -08:00 |
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Rasmus Munk Larsen
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d5e2ec7447
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Speed up tensor FFT by up ~25-50%.
Benchmark Base (ns) New (ns) Improvement
------------------------------------------------------------------
BM_tensor_fft_single_1D_cpu/8 132 134 -1.5%
BM_tensor_fft_single_1D_cpu/9 1162 1229 -5.8%
BM_tensor_fft_single_1D_cpu/16 199 195 +2.0%
BM_tensor_fft_single_1D_cpu/17 2587 2267 +12.4%
BM_tensor_fft_single_1D_cpu/32 373 341 +8.6%
BM_tensor_fft_single_1D_cpu/33 5922 4879 +17.6%
BM_tensor_fft_single_1D_cpu/64 797 675 +15.3%
BM_tensor_fft_single_1D_cpu/65 13580 10481 +22.8%
BM_tensor_fft_single_1D_cpu/128 1753 1375 +21.6%
BM_tensor_fft_single_1D_cpu/129 31426 22789 +27.5%
BM_tensor_fft_single_1D_cpu/256 4005 3008 +24.9%
BM_tensor_fft_single_1D_cpu/257 70910 49549 +30.1%
BM_tensor_fft_single_1D_cpu/512 8989 6524 +27.4%
BM_tensor_fft_single_1D_cpu/513 165402 107751 +34.9%
BM_tensor_fft_single_1D_cpu/999 198293 115909 +41.5%
BM_tensor_fft_single_1D_cpu/1ki 21289 14143 +33.6%
BM_tensor_fft_single_1D_cpu/1k 361980 233355 +35.5%
BM_tensor_fft_double_1D_cpu/8 138 131 +5.1%
BM_tensor_fft_double_1D_cpu/9 1253 1133 +9.6%
BM_tensor_fft_double_1D_cpu/16 218 200 +8.3%
BM_tensor_fft_double_1D_cpu/17 2770 2392 +13.6%
BM_tensor_fft_double_1D_cpu/32 406 368 +9.4%
BM_tensor_fft_double_1D_cpu/33 6418 5153 +19.7%
BM_tensor_fft_double_1D_cpu/64 856 728 +15.0%
BM_tensor_fft_double_1D_cpu/65 14666 11148 +24.0%
BM_tensor_fft_double_1D_cpu/128 1913 1502 +21.5%
BM_tensor_fft_double_1D_cpu/129 36414 24072 +33.9%
BM_tensor_fft_double_1D_cpu/256 4226 3216 +23.9%
BM_tensor_fft_double_1D_cpu/257 86638 52059 +39.9%
BM_tensor_fft_double_1D_cpu/512 9397 6939 +26.2%
BM_tensor_fft_double_1D_cpu/513 203208 114090 +43.9%
BM_tensor_fft_double_1D_cpu/999 237841 125583 +47.2%
BM_tensor_fft_double_1D_cpu/1ki 20921 15392 +26.4%
BM_tensor_fft_double_1D_cpu/1k 455183 250763 +44.9%
BM_tensor_fft_single_2D_cpu/8 1051 1005 +4.4%
BM_tensor_fft_single_2D_cpu/9 16784 14837 +11.6%
BM_tensor_fft_single_2D_cpu/16 4074 3772 +7.4%
BM_tensor_fft_single_2D_cpu/17 75802 63884 +15.7%
BM_tensor_fft_single_2D_cpu/32 20580 16931 +17.7%
BM_tensor_fft_single_2D_cpu/33 345798 278579 +19.4%
BM_tensor_fft_single_2D_cpu/64 97548 81237 +16.7%
BM_tensor_fft_single_2D_cpu/65 1592701 1227048 +23.0%
BM_tensor_fft_single_2D_cpu/128 472318 384303 +18.6%
BM_tensor_fft_single_2D_cpu/129 7038351 5445308 +22.6%
BM_tensor_fft_single_2D_cpu/256 2309474 1850969 +19.9%
BM_tensor_fft_single_2D_cpu/257 31849182 23797538 +25.3%
BM_tensor_fft_single_2D_cpu/512 10395194 8077499 +22.3%
BM_tensor_fft_single_2D_cpu/513 144053843 104242541 +27.6%
BM_tensor_fft_single_2D_cpu/999 279885833 208389718 +25.5%
BM_tensor_fft_single_2D_cpu/1ki 45967677 36070985 +21.5%
BM_tensor_fft_single_2D_cpu/1k 619727095 456489500 +26.3%
BM_tensor_fft_double_2D_cpu/8 1110 1016 +8.5%
BM_tensor_fft_double_2D_cpu/9 17957 15768 +12.2%
BM_tensor_fft_double_2D_cpu/16 4558 4000 +12.2%
BM_tensor_fft_double_2D_cpu/17 79237 66901 +15.6%
BM_tensor_fft_double_2D_cpu/32 21494 17699 +17.7%
BM_tensor_fft_double_2D_cpu/33 357962 290357 +18.9%
BM_tensor_fft_double_2D_cpu/64 105179 87435 +16.9%
BM_tensor_fft_double_2D_cpu/65 1617143 1288006 +20.4%
BM_tensor_fft_double_2D_cpu/128 512848 419397 +18.2%
BM_tensor_fft_double_2D_cpu/129 7271322 5636884 +22.5%
BM_tensor_fft_double_2D_cpu/256 2415529 1922032 +20.4%
BM_tensor_fft_double_2D_cpu/257 32517952 24462177 +24.8%
BM_tensor_fft_double_2D_cpu/512 10724898 8287617 +22.7%
BM_tensor_fft_double_2D_cpu/513 146007419 108603266 +25.6%
BM_tensor_fft_double_2D_cpu/999 296351330 221885776 +25.1%
BM_tensor_fft_double_2D_cpu/1ki 59334166 48357539 +18.5%
BM_tensor_fft_double_2D_cpu/1k 666660132 483840349 +27.4%
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2016-02-19 16:29:23 -08:00 |
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Gael Guennebaud
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d90a2dac5e
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merge
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2016-02-19 23:01:27 +01:00 |
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Gael Guennebaud
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485823b5f5
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Add COD and BDCSVD in list of benched solvers.
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2016-02-19 23:00:33 +01:00 |
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Gael Guennebaud
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2af04f1a57
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Extend unit test to stress smart_copy with empty input/output.
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2016-02-19 22:59:28 +01:00 |
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Gael Guennebaud
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6fa35bbd28
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bug #1170: skip calls to memcpy/memmove for empty imput.
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2016-02-19 22:58:52 +01:00 |
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Benoit Steiner
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46fc23f91c
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Print an error message to stderr when the initialization of the CUDA runtime fails. This helps debugging setup issues.
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2016-02-19 13:44:22 -08:00 |
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Gael Guennebaud
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6f0992c05b
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Fix nesting type and complete reflection methods of Block expressions.
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2016-02-19 22:21:02 +01:00 |
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Gael Guennebaud
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f3643eec57
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Add typedefs for the return type of all block methods.
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2016-02-19 22:15:01 +01:00 |
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Benoit Steiner
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670db7988d
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Updated the contraction code to make it compatible with half floats.
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2016-02-19 13:03:26 -08:00 |
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Benoit Steiner
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180156ba1a
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Added support for tensor reductions on half floats
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2016-02-19 10:05:59 -08:00 |
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Benoit Steiner
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5c4901b83a
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Implemented the scalar division of 2 half floats
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2016-02-19 10:03:19 -08:00 |
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Benoit Steiner
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f268db1c4b
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Added the ability to query the minor version of a cuda device
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2016-02-19 16:31:04 +00:00 |
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Benoit Steiner
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a08d2ff0c9
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Started to work on contractions and reductions using half floats
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2016-02-19 15:59:59 +00:00 |
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Benoit Steiner
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f3352e0fb0
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Don't make the array constructors explicit
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2016-02-19 15:58:57 +00:00 |
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Benoit Steiner
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f7cb755299
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Added support for operators +=, -=, *= and /= on CUDA half floats
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2016-02-19 15:57:26 +00:00 |
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Benoit Steiner
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dc26459b99
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Implemented protate() for CUDA
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2016-02-19 15:16:54 +00:00 |
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Benoit Steiner
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cd042dbbfd
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Fixed a bug in the tensor type converter
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2016-02-19 15:03:26 +00:00 |
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Benoit Steiner
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ac5d706a94
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Added support for simple coefficient wise tensor expression using half floats on CUDA devices
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2016-02-19 08:19:12 +00:00 |
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Benoit Steiner
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0606a0a39b
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FP16 on CUDA are only available starting with cuda 7.5. Disable them when using an older version of CUDA
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2016-02-18 23:15:23 -08:00 |
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Benoit Steiner
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f36c0c2c65
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Added regression test for float16
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2016-02-19 06:23:28 +00:00 |
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