eigen - C++ library for linear algebra

	Commit message (Collapse)	Author	Age
*	Fix oversharding bug in parallelFor.	Rasmus Munk Larsen	2018-06-20
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*	Add a ThreadPoolInterface* getter for ThreadPoolDevice.	Penporn Koanantakool	2018-06-02
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*	Specialize ThreadPoolDevice::enqueueNotification for the case with no args. ↵	Rasmus Munk Larsen	2017-10-13
\| \| \| \|	As an example this reduces binary size of an TensorFlow demo app for Android by about 2.5%.
*	Moved the choice of ThreadPool to unsupported/Eigen/CXX11/ThreadPool	Benoit Steiner	2016-12-12
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*	Reduce dispatch overhead in parallelFor by only calling ↵	Rasmus Munk Larsen	2016-11-14
\| \| \| \|	thread_pool.Schedule() for one of the two recursive calls in handleRange. This avoids going through the scedule path to push both recursive calls onto another thread-queue in the binary tree, but instead executes one of them on the main thread. At the leaf level this will still activate a full complement of threads, but will save up to 50% of the overhead in Schedule (random number generation, insertion in queue which includes signaling via atomics).
*	Avoid unecessary object copies	Benoit Steiner	2016-08-01
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*	Return -1 from CurrentThreadId when called by thread outside the pool.	Rasmus Munk Larsen	2016-06-23
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*	Resolve merge.	Rasmus Munk Larsen	2016-06-23
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* \|	size_t -> int	Rasmus Munk Larsen	2016-06-03
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* \|	Add CurrentThreadId and NumThreads methods to Eigen threadpools and ↵	Rasmus Munk Larsen	2016-06-03
\| \| \| \| \| \| \| \|	TensorDeviceThreadPool.
\| *	Use signed integers more consistently to encode the number of threads to use ↵	Benoit Steiner	2016-06-09
\|/ \| \| \|	to evaluate a tensor expression.
*	Fixed compilation error in the tensor thread pool	Benoit Steiner	2016-05-17
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*	Merged eigen/eigen into default	Rasmus Larsen	2016-05-17
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\| *	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.
* \|	Address comments by bsteiner.	Rasmus Munk Larsen	2016-05-12
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* \|	Improvements to parallelFor.	Rasmus Munk Larsen	2016-05-12
\|/ \| \| \|	Move some scalar functors from TensorFunctors. to Eigen core.
*	Added a new parallelFor api to the thread pool device.	Benoit Steiner	2016-05-09
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*	Provide access to the base threadpool classes	Benoit Steiner	2016-04-21
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*	Added the ability to switch to the new thread pool with a #define	Benoit Steiner	2016-04-21
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*	Added ability to access the cache sizes from the tensor devices	Benoit Steiner	2016-04-14
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*	Prepared the migration to the new non blocking thread pool	Benoit Steiner	2016-04-14
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*	Made it possible to customize the threadpool	Benoit Steiner	2016-03-28
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*	Fixed compilation error	Benoit Steiner	2016-03-22
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*	Pulled latest updates from trunk	Benoit Steiner	2016-03-22
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* \|	Use a single Barrier instead of a collection of Notifications to reduce the ↵	Benoit Steiner	2016-03-22
\| \| \| \| \| \| \| \|	thread synchronization overhead
\| *	Fixed a couple of typos	Benoit Steiner	2016-03-22
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\| *	Avoid using std::vector whenever possible	Benoit Steiner	2016-03-22
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*	Split TensorDeviceType.h in 3 files to make it more manageable	Benoit Steiner	2015-11-20