- GPU: NVIDIA GeForce GTX 1660 Ti
nvcc matrix_cuda.cu
nvcc -Xcompiler -fopenmp mm_omp_vs_cuda.cu
(requires linking to OpenMP I'd guess?)
(py310) vsaraph@carbon:~/matrix-cuda$ ./a.out
please type in m n and k
1000 1000 1000
Time elapsed on matrix multiplication of 1000x1000 . 1000x1000 on GPU: 5.057536 ms.
Time elapsed on matrix multiplication of 1000x1000 . 1000x1000 on CPU: 2746.421875 ms.
all results are correct!!!, speedup = 543.035522
543x seems like a huge speedup to me! Though it's against naive matrix multiplication that doesn't use any CPU parallelism.
See original README here: link