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* Optimized the non blocking thread pool:Gravatar Benoit Steiner2016-05-09
| | | | | | | | | * Use a pseudo-random permutation of queue indices during random stealing. This ensures that all the queues are considered. * Directly pop from a non-empty queue when we are waiting for work, instead of first noticing that there is a non-empty queue and then doing another round of random stealing to re-discover the non-empty queue. * Steal only 1 task from a remote queue instead of half of tasks.
* Marked a few tensor operations as read onlyGravatar Benoit Steiner2016-05-05
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* Relaxed an assertion that was tighter that necessary.Gravatar Benoit Steiner2016-05-05
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* Strongly hint but don't force the compiler to unroll a some loops in the ↵Gravatar Benoit Steiner2016-05-05
| | | | tensor executor. This results in up to 27% faster code.
* Added tests for full contractions using thread pools and gpu devices.Gravatar Benoit Steiner2016-05-05
| | | | Fixed a couple of issues in the corresponding code.
* Updated the contraction code to ensure that full contraction return a tensor ↵Gravatar Benoit Steiner2016-05-05
| | | | of rank 0
* Removed extraneous 'explicit' keywordsGravatar Benoit Steiner2016-05-04
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* Use numext::isfinite instead of std::isfiniteGravatar Benoit Steiner2016-05-03
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* Deleted superfluous explicit keyword.Gravatar Benoit Steiner2016-05-03
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* Fixed compilation errorGravatar Benoit Steiner2016-05-01
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* Added missing accessors to fixed sized tensorsGravatar Benoit Steiner2016-04-29
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* Deleted trailing commasGravatar Benoit Steiner2016-04-29
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* Deleted useless trailing commasGravatar Benoit Steiner2016-04-29
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* Deleted unnecessary trailing commas.Gravatar Benoit Steiner2016-04-29
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* Return the proper size (ie 1) for tensors of rank 0Gravatar Benoit Steiner2016-04-29
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* Deleted unused default values for template parametersGravatar Benoit Steiner2016-04-29
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* Restore Tensor support for non c++11 compilersGravatar Benoit Steiner2016-04-29
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* Fixed include pathGravatar Benoit Steiner2016-04-29
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* Use computeProductBlockingSizes to compute blocking for both ShardByCol and ↵Gravatar Rasmus Munk Larsen2016-04-27
| | | | ShardByRow cases.
* Refactor the unsupported CXX11/Core module to internal headers only.Gravatar Gael Guennebaud2016-04-26
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* Fixed the partial evaluation of non vectorizable tensor subexpressionsGravatar Benoit Steiner2016-04-25
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* Refined the cost of the striding operation.Gravatar Benoit Steiner2016-04-25
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* Provide access to the base threadpool classesGravatar Benoit Steiner2016-04-21
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* Added the ability to switch to the new thread pool with a #defineGravatar Benoit Steiner2016-04-21
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* Fixed several compilation warningsGravatar Benoit Steiner2016-04-21
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* Don't crash when attempting to reduce empty tensors.Gravatar Benoit Steiner2016-04-20
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* Started to implement a portable way to yield.Gravatar Benoit Steiner2016-04-19
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* Implemented a more portable version of thread local variablesGravatar Benoit Steiner2016-04-19
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* Fixed a compilation error with nvcc 7.Gravatar Benoit Steiner2016-04-19
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* Simplified the code that launches cuda kernels.Gravatar Benoit Steiner2016-04-19
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* Don't take the address of a kernel on CUDA devices that don't support this ↵Gravatar Benoit Steiner2016-04-19
| | | | feature.
* Use numext::ceil instead of std::ceilGravatar Benoit Steiner2016-04-19
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* Avoid an unnecessary copy of the evaluator.Gravatar Benoit Steiner2016-04-19
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* Use DenseIndex in the MeanReducer to avoid overflows when processing very ↵Gravatar Benoit Steiner2016-04-19
| | | | large tensors.
* Move the evalGemm method into the TensorContractionEvaluatorBase class to ↵Gravatar Benoit Steiner2016-04-15
| | | | make it accessible from both the single and multithreaded contraction evaluators.
* Deleted unnecessary variableGravatar Benoit Steiner2016-04-15
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* Fixed a few compilation warningsGravatar Benoit Steiner2016-04-15
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* Merged in rmlarsen/eigen (pull request PR-178)Gravatar Benoit Steiner2016-04-15
|\ | | | | | | Eigen Tensor cost model part 2: Thread scheduling for standard evaluators and reductions.
| * Get rid of void* casting when calling EvalRange::run.Gravatar Rasmus Munk Larsen2016-04-15
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* | Added ability to access the cache sizes from the tensor devicesGravatar Benoit Steiner2016-04-14
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* | Added support for exclusive orGravatar Benoit Steiner2016-04-14
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| * 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.
* | Added missing definition of PacketSize in the gpu evaluator of convolutionGravatar Benoit Steiner2016-04-14
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* | Merged in rmlarsen/eigen (pull request PR-177)Gravatar Benoit Steiner2016-04-14
|\| | | | | | | Eigen Tensor cost model part 1.
* | Prepared the migration to the new non blocking thread poolGravatar Benoit Steiner2016-04-14
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| * Improvements to cost model.Gravatar Rasmus Munk Larsen2016-04-14
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* | Added a more scalable non blocking thread poolGravatar Benoit Steiner2016-04-14
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| * Merge upstream updates.Gravatar Rasmus Munk Larsen2016-04-14
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| * 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.
* | Silenced a compilation warningGravatar Benoit Steiner2016-04-14
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