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 ...

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.” ...

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.