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Allow vectorized padding on GPU. This helps speed things up a little.

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Before:
BM_padding/10            5000000        460   217.03 MFlops/s
BM_padding/80            5000000        460 13899.40 MFlops/s
BM_padding/640           5000000        461 888421.17 MFlops/s
BM_padding/4K            5000000        460 54316322.55 MFlops/s
After:
BM_padding/10            5000000        454   220.20 MFlops/s
BM_padding/80            5000000        455 14039.86 MFlops/s
BM_padding/640           5000000        452 904968.83 MFlops/s
BM_padding/4K            5000000        411 60750049.21 MFlops/s
This commit is contained in:
Benoit Steiner
2016-05-17 09:13:27 -07:00
parent a80d875916
commit 8d06c02ffd
4 changed files with 107 additions and 30 deletions
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2
unsupported/test/cxx11_tensor_of_float16_cuda.cu
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@@ -251,7 +251,7 @@ void test_cuda_contractions() {
void test_cuda_reductions() {
Eigen::CudaStreamDevice stream;
Eigen::GpuDevice gpu_device(&stream);
int size = 13;
int size = 40;
int num_elem = size*size;
float* d_float1 = (float*)gpu_device.allocate(num_elem * sizeof(float));