Model and compilation strategy for out-of-core data parallel programs

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 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)
Title of host publicationProceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
PublisherACM
Pages1-10
Number of pages10
StatePublished - Jan 1 1995
EventProceedings of the 5th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming - Santa Barbara, CA, USA
Duration: Jul 19 1995Jul 21 1995

Other

OtherProceedings of the 5th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
CitySanta Barbara, CA, USA
Period7/19/957/21/95

ASJC Scopus subject areas

  • Computer Science(all)

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