Rasmus Munk Larsen
e478532625
Reduce the number of template specializations of classes related to tensor contraction to reduce binary size.
2018-07-27 12:36:34 -07:00
Eugene Zhulenev
6e654f3379
Reduce number of allocations in TensorContractionThreadPool.
2018-07-16 14:26:39 -07:00
Eugene Zhulenev
e204ecdaaf
Remove SimpleThreadPool and always use {NonBlocking}ThreadPool
2018-07-16 15:06:57 -07:00
Eugene Zhulenev
01fd4096d3
Fuse computations into the Tensor contractions using output kernel
2018-07-10 13:16:38 -07:00
Gael Guennebaud
b3fd93207b
Fix typos found using codespell
2018-06-07 14:43:02 +02:00
Benoit Steiner
519d63d350
Added support for libxsmm kernel in multithreaded contractions
2016-12-21 15:06:06 -08:00
Benoit Steiner
14a112ee15
Use signed integers more consistently to encode the number of threads to use to evaluate a tensor expression.
2016-06-09 08:25:22 -07:00
Benoit Steiner
1ae2567861
Fixed some compilation warnings
2016-05-26 15:57:19 -07:00
Benoit Steiner
a09cbf9905
Merged in rmlarsen/eigen (pull request PR-188)
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Minor cleanups: 1. Get rid of a few unused variables. 2. Get rid of last uses of EIGEN_USE_COST_MODEL.
2016-05-23 12:55:12 -07:00
Christoph Hertzberg
25a03c02d6
Fix some sign-compare warnings
2016-05-22 16:42:27 +02:00
Rasmus Munk Larsen
7df811cfe5
Minor cleanups: 1. Get rid of unused variables. 2. Get rid of last uses of EIGEN_USE_COST_MODEL.
2016-05-18 15:09:48 -07:00
Benoit Steiner
83dfb40f66
Turnon the new thread pool by default since it scales much better over multiple cores. It is still possible to revert to the old thread pool by compiling with the EIGEN_USE_SIMPLE_THREAD_POOL define.
2016-05-13 17:23:15 -07:00
Benoit Steiner
97605c7b27
New multithreaded contraction that doesn't rely on the thread pool to run the closure in the order in which they are enqueued. This is needed in order to switch to the new non blocking thread pool since this new thread pool can execute the closure in any order.
2016-05-13 17:11:29 -07:00
Benoit Steiner
a071629fec
Replace implicit cast with an explicit one
2016-05-12 10:40:07 -07:00
Benoit Steiner
f363e533aa
Added tests for full contractions using thread pools and gpu devices.
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Fixed a couple of issues in the corresponding code.
2016-05-05 09:05:45 -07:00
Benoit Steiner
46177c8d64
Replace std::vector with our own implementation, as using the stl when compiling with nvcc and avx enabled leads to many issues.
2016-03-08 16:37:27 -08:00
Benoit Steiner
8768c063f5
Fixed the tensor chipping code.
2016-03-08 12:26:49 -08:00
Benoit Steiner
e09eb835db
Decoupled the packet type definition from the definition of the tensor ops. 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.
2016-03-08 12:07:33 -08:00
Benoit Steiner
3aeeca32af
Leverage the new blocking code in the tensor contraction code.
2016-01-22 16:36:30 -08:00
Benoit Steiner
2ab603316a
Use numext::mini/numext::maxi instead of std::min/std::max in the tensor code
2015-08-28 08:14:15 -07:00
Benoit Steiner
3625734bc8
Moved some utilities to TensorMeta.h to make it easier to reuse them accross several tensor operations.
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Created the TensorDimensionList class to encode the list of all the dimensions of a tensor of rank n. This could be done using TensorIndexList, however TensorIndexList require cxx11 which isn't yet supported as widely as we'd like.
2015-06-29 10:49:55 -07:00
Benoit Steiner
6b800744ce
Moved away from std::async and std::future as the underlying mechnism for the thread pool device. On several platforms, the functions passed to std::async are not scheduled in the order in which they are given to std::async, which leads to massive performance issues in the contraction code.
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Instead we now have a custom thread pool that ensures that the functions are picked up by the threads in the pool in the order in which they are enqueued in the pool.
2015-05-20 13:52:07 -07:00
Benoit Steiner
bb483313f6
Fixed another batch of compilation warnings
2015-02-28 02:32:46 -08:00
Benoit Steiner
f8fbb3f9a6
Fixed several compilation warnings reported by clang
2015-02-25 22:22:37 -08:00
Benoit Steiner
410895a7e4
Silenced several compilation warnings
2015-02-10 12:13:19 -08:00
Benoit Steiner
f697df7237
Improved support for RowMajor tensors
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Misc fixes and API cleanups.
2015-01-14 15:38:48 -08:00
Benoit Steiner
71676eaddd
Added support for RowMajor inputs to the contraction code.
2015-01-14 12:36:57 -08:00
Benoit Steiner
b1789c112b
Improved handling of 1d tensors
2014-11-03 08:51:33 -08:00
Benoit Steiner
d853adffdb
Avoid calling get_future() more than once on a given promise.
2014-10-16 10:10:04 -07:00
Benoit Steiner
bfdd9f3ac9
Made the blocking computation aware of the l3 cache
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Also optimized the blocking parameters to take into account the number of threads used for a computation
2014-10-15 15:32:59 -07:00
Benoit Steiner
dba55041ab
Added support for promises
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Started to improve multithreaded contractions
2014-10-15 11:20:36 -07:00
