Intel MKL compact functions pack matrices into a contiguous segment of memory in an interleaved data layout organized into packs where the length is related to the register length of the underlying ...

In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for high performing computing. A sparse matrix contains a high percentage of zero’s, (as ...

The algorithm is able to re-discover older matrix multiplication algorithms and improve upon its own to discover newer and faster algorithms. “AlphaTensor is the first AI system for discovering novel, ...

The Hexagon SDK 3.1 includes general matrix-matrix multiplication (GEMM) libraries for convolutional networks used in machine learning, which runs more efficiently on its DSP than on a CPU.