Loo-Keng Hua, Geometry of Symmetric Matrices Over Any Field with Characteristic Other Than Two, Annals of Mathematics, Vol. 50, No. 1 (Jan., 1949), pp. 8-31 ...

This vector-matrix multiplication runs slower on B200 than H200: ...

This project implements various sparse matrix computations in CUDA and C++. It includes conversion routines between sparse matrix formats and efficient CUDA kernels for Sparse Matrix-Vector ...

A mixed-precision analog compute-in-memory (Mix-ACIM) is presented for mixed-precision vector-matrix multiplication (VMM). The design features an all-analog current-domain fixed-point (FxP) VMM with ...

Machine Learning and AI approaches have stretched traditional hardware to its limits. In-hardware computing is a novel approach that aims to run Matrix-Vector Multiplication operations directly at the ...