Abstract: This work evaluates the impact of matrix reordering on the performance of sparse matrix-vector multiplication across different multicore CPU platforms. Reordering can enhance performance by ...

Abstract: This research proposes and evaluates a novel approach to optimizing matrix multiplication (MatMul) on Huawei Ascend NPUs, motivated by a key insight: during matrix-vector multiplication ...

This project combines two prominent machine learning / big data technologies: MapReduce and recommendation. Foundational amongst those technologies are the resilient Google File System (GFS) and a ...