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 ...

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix m ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine.This could eventually ...

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, ...

Third, we compare SpMV execution on a real-world PIM system with 2528 PIM cores to state-of-the-art CPU and GPU systems to study the performance and energy efficiency of various devices. SparseP ...