Benoit Steiner
029052d276
Deleted redundant code
2015-12-03 17:08:47 -08:00
Benoit Steiner
9ea39ce13c
Refined the #ifdef __CUDACC__ guard to ensure that when trying to compile gpu code with a non cuda compiler results in a linking error instead of bogus code.
2015-10-23 09:15:34 -07:00
Benoit Steiner
4df8b5a75e
Avoid making an unecessary copy of the tensor expression when evaluating it on a GPU device
2015-03-25 14:36:07 -07:00
Benoit Steiner
ccf290a65c
Cleaned up the TensorDevice code a little bit.
2015-03-25 12:37:38 -07:00
Benoit Steiner
a6a628ca6b
Added the -= operator to the device classes
2015-03-19 23:22:19 -07:00
Benoit Steiner
99d75235a9
Misc improvements and cleanups
2014-10-13 17:02:09 -07:00
Benoit Steiner
38ab7e6ed0
Reworked the expression evaluation mechanism in order to make it possible to efficiently compute convolutions and contractions in the future:
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* The scheduling of computation is moved out the the assignment code and into a new TensorExecutor class
* The assignment itself is now a regular node on the expression tree
* The expression evaluators start by recursively evaluating all their subexpressions if needed
2014-06-13 09:56:51 -07:00
Benoit Steiner
925fb6b937
TensorEval are now typed on the device: this will make it possible to use partial template specialization to optimize the strategy of each evaluator for each device type.
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Started work on partial evaluations.
2014-06-10 09:14:44 -07:00
Benoit Steiner
6fa6cdd2b9
Added support for tensor contractions
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Updated expression evaluation mechanism to also compute the size of the tensor result
Misc fixes and improvements.
2014-06-04 09:21:48 -07:00
Benoit Steiner
7402fea0a8
Vectorized the evaluation of tensor expression (using SSE, AVX, NEON, ...)
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Added the ability to parallelize the evaluation of a tensor expression over multiple cpu cores.
Added the ability to offload the evaluation of a tensor expression to a GPU.
2014-05-16 15:08:05 -07:00
