Optimization and performance evaluation of the IDR iterative Krylov solver on GPUs

Research output: Contribution to journalArticle

  • Authors:
  • Hartwig Anzt
  • Moritz Kreutzer
  • Eduardo Ponce
  • Gregory Peterson
  • Gerhard Wellein
  • And 1 others
  • External authors:
  • Jack Dongarra

Abstract

In this paper, we present an optimized GPU implementation for the induced dimension reduction algorithm. We improve data locality, combine it with an efficient sparse matrix vector kernel, and investigate the potential of overlapping computation with communication as well as the possibility of concurrent kernel execution. A comprehensive performance evaluation is conducted using a suitable performance model. The analysis reveals efficiency of up to 90%, which indicates that the implementation achieves performance close to the theoretically attainable bound.

Bibliographical metadata

Original languageEnglish
Pages (from-to)1-11
JournalInternational Journal of High Performance Computing Applications
Early online date5 May 2016
DOIs
StatePublished - 2016