C&EN

Thermodynamics Analysis of a Reaction-Diffusion Matrix Multiplication Computing Unit under the Linear Non-Equilibrium Regime

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...
Ars Technica

Matrix multiplication advancement could lead to faster, more efficient AI models

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 ...
IEEE

Towards Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication on GPUs

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental operation in neural networks and high performance graph algorithms. Most popular solutions to S pMM adhere to ahead-of-time (AOT) ...
IEEE

JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication

Abstract: Achieving high performance for Sparse Matrix-Matrix Multiplication (SpMM) has received increasing research attention, especially on multi-core CPUs, due to the large input data size in ...