A Model and Compilation Strategy for Out-of-Core Data Parallel Programs

Alok Choudhary, Rajesh Bordawekar, Ken Kennedy, Charles Koelbel, Michael Paleczny

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

It is widely acknowledged in high-performance computing circles that parallel input/output needs substantial improvement in order to make scalable computers truly usable. We present a data storage model that allows processors independent access to their own data and a corresponding compilation strategy that integrates data-parallel computation with data distribution for out-of-core problems. Our results compare several communication methods and I/O optimizations using two out-of-core problems, Jacobi iteration and LU factorization.

Original languageEnglish (US)
Pages (from-to)1-10
Number of pages10
JournalACM SIGPLAN Notices
Volume30
Issue number8
DOIs
StatePublished - Jan 1995

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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