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

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.

• Type: Conference
• Year: 2002
• Where: IPPS
• Authors: Gerald Baumgartner, David E. Bernholdt, Daniel Cociorva, Chi-Chung Lam, J. Ramanujam, Robert J. Harrison, Marcel Nooijen, P. Sadayappan
• Keywords: Computation, Distributed And Parallel Computing, Electronic Structure Modeling, IPPS 2002, Program Synthesis