A Performance Optimization Framework for Compilation of Tensor Contraction Expressions into Parallel Programs

  • Authors:
  • Gerald Baumgartner;David E. Bernholdt;Daniel Cociorva;Chi-Chung Lam;J. Ramanujam;Robert Harrison;Marcel Noolijen;P. Sadayappan

  • Affiliations:
  • -;-;-;-;-;-;-;-

  • Venue:
  • IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper discusses a program synthesis system to facilitate the generation of high-performance parallel programs for a class of computations encountered in quantum chemistry and physics. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. An overview is provided of the synthesis system under development, that will take as input a high-level specification of the computation and generate high-performance parallel code for a number of target architectures. Several components of the synthesis system are described, focusing on compile-time optimization issues that they address.