Citations: - MKL (hand written assembly for most routines) - gotoBLAS (hand written assembly) - fastest gpu gemm library https://github.com/openai/openai-gem

Citations: - MKL (hand written assembly for most routines) - gotoBLAS (hand written assembly) - fastest gpu gemm library https://github.com/openai/openai-gemm https://github.com/openai/openai-gemm (hand written assembly) - fastest gpu conv libraries (cudnn/nervana neon - hand written assembly) - Gromacs gpucc is now basically in clang and I have not seen any gemm libraries written in CUDA C compiled by clang that are competitive. Or conv libraries. I also looked at Pluto and again see no comparisons to the MKL suggesting it is competitive. It increases the speed of a triple nested for loop by a factor of 4, which is still nowhere close to the speed of the MKL gemm.