A model and compilation strategy for out-of-core data parallel programs

  • Authors:
  • Rajesh Bordawekar;Alok Choudhary;Ken Kennedy;Charles Koelbel;Michael Paleczny

  • Affiliations:
  • NPAC and ECE Dept. Syracuse University;NPAC and ECE Dept. Syracuse University;CRPC and CS Dept., Rice University;CRPC and CS Dept., Rice University;CRPC and CS Dept., Rice University

  • Venue:
  • PPOPP '95 Proceedings of the fifth ACM SIGPLAN symposium on Principles and practice of parallel programming
  • Year:
  • 1995

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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.