It is compatible across many different compilers, languages, operating systems, linking, and threading models. In particular, the Intel MKL DGEMM function for matrix-matrix multiplication is highly ...

For large matrices, it achieves a transposition rate of 49 GB/s (82% efficiency) on Intel® Xeon® Processors and 113 GB/s (67% efficiency) on Intel® Xeon Phi™ coprocessors.

Matrix multiplication advancement could lead to faster, more efficient AI models At the heart of AI, matrix math has just seen its biggest boost "in more than a decade.” ...