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C++ library for linear algebra
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CUDA
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TypeCasting.h
Commit message (
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Author
Age
*
moving Half headers from CUDA dir to GPU dir, removing the HIP versions
Deven Desai
2018-06-13
*
Add a EIGEN_NO_CUDA option, and introduce EIGEN_CUDACC and EIGEN_CUDA_ARCH al...
Gael Guennebaud
2017-07-17
*
Take advantage of AVX512 instructions whenever possible to speedup the proces...
Benoit Steiner
2016-10-12
*
Disable the use of MMX instructions since the code is broken on many platforms
Benoit Steiner
2016-05-27
*
Deleted extra namespace
Benoit Steiner
2016-05-26
*
Disable usage of MMX with msvc.
Gael Guennebaud
2016-05-26
*
Add missing inclusion of mmintrin.h
Gael Guennebaud
2016-05-26
*
Disable the use of MMX instructions on x86_64 since too many compilers only s...
Benoit Steiner
2016-05-25
*
Cleaned up the fp16 code a little more
Benoit Steiner
2016-05-24
*
Cleaned up the fp16 code
Benoit Steiner
2016-05-24
*
Don't attempt to use MMX instructions with visualstudio since they're only pa...
Benoit Steiner
2016-05-24
*
Worked around missing clang intrinsic
Benoit Steiner
2016-05-24
*
Added missing EIGEN_DEVICE_FUNC qualifier
Benoit Steiner
2016-05-23
*
Started to vectorize the processing of 16bit floats on CPU.
Benoit Steiner
2016-05-23
*
Added support for packet processing of fp16 on kepler and maxwell gpus
Benoit Steiner
2016-05-06
*
Disabled the use of half2 on cuda devices of compute capability < 5.3
Benoit Steiner
2016-04-08
*
Made type conversion explicit
Benoit Steiner
2016-03-23
*
Completed the implementation of vectorized type casting of half floats.
Benoit Steiner
2016-03-18
*
Implemented some of the missing type casting for half floats
Benoit Steiner
2016-03-17
*
Enable the conversion between floats and half floats on older GPUs that suppo...
Benoit Steiner
2016-03-03
*
Added support for tensor reductions on half floats
Benoit Steiner
2016-02-19
*
FP16 on CUDA are only available starting with cuda 7.5. Disable them when usi...
Benoit Steiner
2016-02-18
*
Added preliminary support for half floats on CUDA GPU. For now we can simply ...
Benoit Steiner
2016-02-19