Commit message (Collapse) | Author | Age | |
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* | Add deprecated header files for TensorFlow | 2018-07-12 | |
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* | renaming *Cuda files to *Gpu in the unsupported/Eigen/CXX11/src/Tensor and ↵ | 2018-06-20 | |
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* | Added support for CUDA 9.0. | 2017-08-31 | |
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* | Add a EIGEN_NO_CUDA option, and introduce EIGEN_CUDACC and EIGEN_CUDA_ARCH ↵ | 2017-07-17 | |
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* | Add labels to #ifdef, in TensorReductionCuda.h | 2017-06-06 | |
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* | Made the Tensor code compile with clang 3.9 | 2017-03-02 | |
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* | Fix remaining CUDA >= 300 checks | 2016-08-18 | |
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* | Add the necessary CUDA >= 300 checks back | 2016-08-18 | |
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* | Remove CUDA >= 300 checks and enable outer reductin for doubles | 2016-08-06 | |
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* | Make use of atomicExch for atomicExchCustom | 2016-08-05 | |
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* | Enable efficient Tensor reduction for doubles | 2016-07-01 | |
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* | Made it possible to compile reductions for an old cuda architecture and run ↵ | 2016-06-29 | |
| | | | | them on a recent gpu. | ||
* | Made the code compile when using CUDA architecture < 300 | 2016-06-29 | |
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* | Simplified the code that dispatches vectorized reductions on GPU | 2016-06-09 | |
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* | Improved support for vectorization of 16-bit floats | 2016-06-09 | |
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* | Misc small improvements to the reduction code. | 2016-06-06 | |
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* | Improved the performance of full reductions. | 2016-06-03 | |
| | | | | | | | | | | | | | | | | 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 | ||
* | Silenced compilation warning generated by nvcc. | 2016-06-01 | |
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* | Added support for mean reductions on fp16 | 2016-06-01 | |
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* | Only enable optimized reductions of fp16 if the reduction functor supports them | 2016-05-31 | |
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* | Resolved merge conflicts | 2016-05-26 | |
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* | Merged latest reduction improvements | 2016-05-26 | |
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* | | Improved the performance of inner reductions. | 2016-05-26 | |
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* | | There is no need to make the fp16 full reduction kernel a static function. | 2016-05-24 | |
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| * | Allow vectorized padding on GPU. This helps speed things up a little. | 2016-05-17 | |
|/ | | | | | | | | | | | | | 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 | ||
* | Turnon the new thread pool by default since it scales much better over ↵ | 2016-05-13 | |
| | | | | multiple cores. It is still possible to revert to the old thread pool by compiling with the EIGEN_USE_SIMPLE_THREAD_POOL define. | ||
* | Removed unnecessary thread synchronization | 2016-05-13 | |
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* | Fixed a typo in my previous commit | 2016-05-11 | |
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* | Fix potential race condition in the CUDA reduction code. | 2016-05-11 | |
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* | Properly gate the use of half2. | 2016-05-10 | |
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* | Small improvement to the full reduction of fp16 | 2016-05-10 | |
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* | Simplified the reduction code a little. | 2016-05-10 | |
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* | Improved the performance of full reductions on GPU: | 2016-05-09 | |
| | | | | | | | | | | | | | | 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 | ||
* | Don't crash when attempting to reduce empty tensors. | 2016-04-20 | |
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* | Fixed a compilation error with nvcc 7. | 2016-04-19 | |
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* | Simplified the code that launches cuda kernels. | 2016-04-19 | |
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* | Use numext::ceil instead of std::ceil | 2016-04-19 | |
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* | Fixed compilation warning | 2016-03-18 | |
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* | Improved the performance of large outer reductions on cuda | 2016-02-29 | |
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* | Made the signature of the inner and outer reducers consistent | 2016-02-29 | |
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* | Optimized the performance of narrow reductions on CUDA devices | 2016-02-29 | |
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* | Fixed a race condition that could affect some reductions on CUDA devices. | 2016-01-15 | |
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* | Use warp shuffles instead of shared memory access to speedup the inner ↵ | 2016-01-14 | |
| | | | | reduction kernel. | ||
* | Fixed a boundary condition bug in the outer reduction kernel | 2016-01-14 | |
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* | Silenced a few compilation warnings. | 2016-01-11 | |
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* | Deleted unused variable. | 2016-01-11 | |
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* | Silenced a nvcc compilation warning | 2016-01-11 | |
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* | Silenced several compilation warnings triggered by nvcc. | 2016-01-11 | |
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* | Merged in jeremy_barnes/eigen/shader-model-3.0 (pull request PR-152) | 2016-01-11 | |
|\ | | | | | | | Alternative way of forcing instantiation of device kernels without causing warnings or requiring device to device kernel invocations. | ||
* | | Re-enabled the optimized reduction CUDA code. | 2016-01-11 | |
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