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path: root/unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
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* Converting all sycl buffers to uninitialised device only buffers; adding ↵Gravatar Mehdi Goli2016-11-08
| | | | memcpyHostToDevice and memcpyDeviceToHost on syclDevice; modifying all examples to obey the new rules; moving sycl queue creating to the device based on Benoit suggestion; removing the sycl specefic condition for returning m_result in TensorReduction.h according to Benoit suggestion.
* Removed the sycl include from Eigen/Core and moved it to ↵Gravatar Mehdi Goli2016-11-04
| | | | Unsupported/Eigen/CXX11/Tensor; added TensorReduction for sycl (full reduction and partial reduction); added TensorReduction test case for sycl (full reduction and partial reduction); fixed the tile size on TensorSyclRun.h based on the device max work group size;
* Fixing the code indentation in the TensorReduction.h file.Gravatar Mehdi Goli2016-10-14
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* Reducing the code by generalising sycl backend functions/structs.Gravatar Mehdi Goli2016-10-14
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* Fixed a bug impacting some outer reductions on GPUGravatar Benoit Steiner2016-09-12
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* Don't attempt to optimize partial reductions when the optimized ↵Gravatar Benoit Steiner2016-08-08
| | | | implementation doesn't buy anything.
* Improved partial reductions in more casesGravatar Benoit Steiner2016-07-22
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* Fix warningsGravatar Gael Guennebaud2016-07-08
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* Fix warningGravatar Gael Guennebaud2016-07-07
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* Use array_prod to compute the number of elements contained in the input ↵Gravatar Benoit Steiner2016-06-04
| | | | tensor expression
* Improved the performance of full reductions.Gravatar Benoit Steiner2016-06-03
| | | | | | | | | | | | | | | | AFTER: BM_fullReduction/10 4541 4543 154017 21.0M items/s BM_fullReduction/64 5191 5193 100000 752.5M items/s BM_fullReduction/512 9588 9588 71361 25.5G items/s BM_fullReduction/4k 244314 244281 2863 64.0G items/s BM_fullReduction/5k 359382 359363 1946 64.8G items/s BEFORE: BM_fullReduction/10 9085 9087 74395 10.5M items/s BM_fullReduction/64 9478 9478 72014 412.1M items/s BM_fullReduction/512 14643 14646 46902 16.7G items/s BM_fullReduction/4k 260338 260384 2678 60.0G items/s BM_fullReduction/5k 385076 385178 1818 60.5G items/s
* Resolved merge conflictsGravatar Benoit Steiner2016-05-26
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* Merged latest reduction improvementsGravatar Benoit Steiner2016-05-26
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* | Improved the performance of inner reductions.Gravatar Benoit Steiner2016-05-26
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* | Merged in rmlarsen/eigen (pull request PR-188)Gravatar Benoit Steiner2016-05-23
|\ \ | | | | | | | | | Minor cleanups: 1. Get rid of a few unused variables. 2. Get rid of last uses of EIGEN_USE_COST_MODEL.
* | | Make EIGEN_HAS_CONSTEXPR user configurableGravatar Gael Guennebaud2016-05-20
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* | | Make EIGEN_HAS_VARIADIC_TEMPLATES user configurableGravatar Gael Guennebaud2016-05-20
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| * | Minor cleanups: 1. Get rid of unused variables. 2. Get rid of last uses of ↵Gravatar Rasmus Munk Larsen2016-05-18
|/ / | | | | | | EIGEN_USE_COST_MODEL.
| * Allow vectorized padding on GPU. This helps speed things up a little.Gravatar Benoit Steiner2016-05-17
|/ | | | | | | | | | | | | Before: BM_padding/10 5000000 460 217.03 MFlops/s BM_padding/80 5000000 460 13899.40 MFlops/s BM_padding/640 5000000 461 888421.17 MFlops/s BM_padding/4K 5000000 460 54316322.55 MFlops/s After: BM_padding/10 5000000 454 220.20 MFlops/s BM_padding/80 5000000 455 14039.86 MFlops/s BM_padding/640 5000000 452 904968.83 MFlops/s BM_padding/4K 5000000 411 60750049.21 MFlops/s
* Improved the portability of the tensor codeGravatar Benoit Steiner2016-05-11
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* Properly gate the use of half2.Gravatar Benoit Steiner2016-05-10
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* Improved the performance of full reductions on GPU:Gravatar Benoit Steiner2016-05-09
| | | | | | | | | | | | | | Before: BM_fullReduction/10 200000 11751 8.51 MFlops/s BM_fullReduction/80 5000 523385 12.23 MFlops/s BM_fullReduction/640 50 36179326 11.32 MFlops/s BM_fullReduction/4K 1 2173517195 11.50 MFlops/s After: BM_fullReduction/10 500000 5987 16.70 MFlops/s BM_fullReduction/80 200000 10636 601.73 MFlops/s BM_fullReduction/640 50000 58428 7010.31 MFlops/s BM_fullReduction/4K 1000 2006106 12461.95 MFlops/s
* Eigen Tensor cost model part 2: Thread scheduling for standard evaluators ↵Gravatar Rasmus Munk Larsen2016-04-14
| | | | and reductions. The cost model is turned off by default.
* Eigen cost model part 1. This implements a basic recursive framework to ↵Gravatar Rasmus Munk Larsen2016-04-14
| | | | estimate the cost of evaluating tensor expressions.
* Fixed compilation warnings on armGravatar Benoit Steiner2016-03-28
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* Avoid unnecessary conversionsGravatar Benoit Steiner2016-03-23
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* Fixed compilation warningGravatar Benoit Steiner2016-03-23
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* Use a single Barrier instead of a collection of Notifications to reduce the ↵Gravatar Benoit Steiner2016-03-22
| | | | thread synchronization overhead
* Avoid implicit castGravatar Benoit Steiner2016-03-09
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* Avoid unnecessary conversion from 32bit int to 64bit unsigned intGravatar Benoit Steiner2016-03-09
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* Replace std::vector with our own implementation, as using the stl when ↵Gravatar Benoit Steiner2016-03-08
| | | | compiling with nvcc and avx enabled leads to many issues.
* Simplified the full reduction codeGravatar Benoit Steiner2016-03-08
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* Decoupled the packet type definition from the definition of the tensor ops. ↵Gravatar Benoit Steiner2016-03-08
| | | | All the vectorization is now defined in the tensor evaluators. This will make it possible to relialably support devices with different packet types in the same compilation unit.
* Made the signature of the inner and outer reducers consistentGravatar Benoit Steiner2016-02-29
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* Optimized the performance of narrow reductions on CUDA devicesGravatar Benoit Steiner2016-02-29
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* Fixed a typo in the reduction code that could prevent large full reductionsx ↵Gravatar Benoit Steiner2016-02-24
| | | | from running properly on old cuda devices.
* Fixed a number of compilation warnings generated by the cuda testsGravatar Benoit Steiner2016-01-31
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* Fixed a couple of compilation warnings.Gravatar Benoit Steiner2016-01-28
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* Fixed some compilation problems with nvcc + clangGravatar Benoit Steiner2016-01-27
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* Record whether the underlying tensor storage can be accessed directly during ↵Gravatar Benoit Steiner2016-01-19
| | | | the evaluation of an expression.
* Properly record the rank of reduced tensors in the tensor traits.Gravatar Benoit Steiner2016-01-13
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* Merged in jeremy_barnes/eigen/shader-model-3.0 (pull request PR-152)Gravatar Benoit Steiner2016-01-11
|\ | | | | | | Alternative way of forcing instantiation of device kernels without causing warnings or requiring device to device kernel invocations.
* | Fixed a bug in the dispatch of optimized reduction kernels.Gravatar Benoit Steiner2016-01-11
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* | Re-enabled the optimized reduction CUDA code.Gravatar Benoit Steiner2016-01-11
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| * Alternative way of forcing instantiation of device kernels withoutGravatar Jeremy Barnes2016-01-10
|/ | | | | | causing warnings or requiring device to device kernel invocations. This allows Tensorflow to work on SM 3.0 (ie, Amazon EC2) machines.
* Simplified the dispatch code.Gravatar Benoit Steiner2016-01-08
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* Reworked the dispatch of optimized cuda reduction kernels to workaround a ↵Gravatar Benoit Steiner2016-01-08
| | | | nvcc bug that prevented the code from compiling in optimized mode in some cases
* Improved the performance of reductions on CUDA devicesGravatar Benoit Steiner2016-01-04
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* Optimized outer reduction on GPUs.Gravatar Benoit Steiner2015-12-22
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* Silenced some compilation warnings triggered by nvccGravatar Benoit Steiner2015-12-17
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