Abstract: General Matrix Multiplication (GEMM) is one of the most common kernels in high-performance computing (HPC) and machine-learning (ML) applications, frequently dominating their execution time, ...

When semiconductor shortages forced automakers to idle assembly lines, procurement leaders were reminded of a fundamental reality: not all suppliers carry equal strategic weight. In volatile global ...

Abstract: Exploiting matrix symmetry to halve memory footprint offers an opportunity for accelerating memory-bound computations like Sparse Matrix-Vector Multiplication (SpMV). However, symmetric SpMV ...