Paper Info
Title
TAPSpMV: Topology-Aware Parallel Sparse Matrix Vector Multiplication.
Abstract
This paper introduces a method to reduce communication that is injected into the network during a sparse matrix-vector multiply by reorganizing messages on each node. This results in a reduction of the inter-node communication, replaced by less-costly intra-node communication, which reduces both the number and size of messages that are injected into the network.
Year
Venue
Field
2016
arXiv: Distributed, Parallel, and Cluster Computing
Sparse matrix-vector multiplication,Computer science,Parallel computing,Distributed computing
DocType
Volume
Citations 
Journal
abs/1612.08060
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Amanda Bienz101.01
William D. Gropp25547548.31
Luke Olson323521.93