eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Use signed integers more consistently to encode the number of threads to use ↵	Benoit Steiner	2016-06-09
\| \| \| \|	to evaluate a tensor expression.
*	Fixed some compilation warnings	Benoit Steiner	2016-05-26
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*	Merged in rmlarsen/eigen (pull request PR-188)	Benoit Steiner	2016-05-23
\|\ \| \| \| \| \| \|	Minor cleanups: 1. Get rid of a few unused variables. 2. Get rid of last uses of EIGEN_USE_COST_MODEL.
* \|	Fix some sign-compare warnings	Christoph Hertzberg	2016-05-22
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\| *	Minor cleanups: 1. Get rid of unused variables. 2. Get rid of last uses of ↵	Rasmus Munk Larsen	2016-05-18
\|/ \| \| \|	EIGEN_USE_COST_MODEL.
*	Turnon the new thread pool by default since it scales much better over ↵	Benoit Steiner	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.
*	New multithreaded contraction that doesn't rely on the thread pool to run ↵	Benoit Steiner	2016-05-13
\| \| \| \|	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.
*	Replace implicit cast with an explicit one	Benoit Steiner	2016-05-12
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*	Added tests for full contractions using thread pools and gpu devices.	Benoit Steiner	2016-05-05
\| \| \| \|	Fixed a couple of issues in the corresponding code.
*	Replace std::vector with our own implementation, as using the stl when ↵	Benoit Steiner	2016-03-08
\| \| \| \|	compiling with nvcc and avx enabled leads to many issues.
*	Fixed the tensor chipping code.	Benoit Steiner	2016-03-08
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*	Decoupled the packet type definition from the definition of the tensor ops. ↵	Benoit Steiner	2016-03-08
\| \| \| \|	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.
*	Leverage the new blocking code in the tensor contraction code.	Benoit Steiner	2016-01-22
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*	Use numext::mini/numext::maxi instead of std::min/std::max in the tensor code	Benoit Steiner	2015-08-28
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*	Moved some utilities to TensorMeta.h to make it easier to reuse them accross ↵	Benoit Steiner	2015-06-29
\| \| \| \| \| \|	several tensor operations. 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.
*	Moved away from std::async and std::future as the underlying mechnism for ↵	Benoit Steiner	2015-05-20
\| \| \| \| \| \|	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. 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.
*	Fixed another batch of compilation warnings	Benoit Steiner	2015-02-28
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*	Fixed several compilation warnings reported by clang	Benoit Steiner	2015-02-25
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*	Silenced several compilation warnings	Benoit Steiner	2015-02-10
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*	Improved support for RowMajor tensors	Benoit Steiner	2015-01-14
\| \| \| \|	Misc fixes and API cleanups.
*	Added support for RowMajor inputs to the contraction code.	Benoit Steiner	2015-01-14
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*	Improved handling of 1d tensors	Benoit Steiner	2014-11-03
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*	Avoid calling get_future() more than once on a given promise.	Benoit Steiner	2014-10-16
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*	Made the blocking computation aware of the l3 cache	Benoit Steiner	2014-10-15
\| \| \| \|	Also optimized the blocking parameters to take into account the number of threads used for a computation
*	Added support for promises	Benoit Steiner	2014-10-15
	Started to improve multithreaded contractions