A performance optimization framework for compilation of tensor contraction expressions into parallel
Document Type
Conference Proceeding
Publication Date
1-1-2002
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.
Publication Source (Journal or Book title)
Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002
First Page
106
Recommended Citation
Baumgartner, G., Bernholdt, D., Cociorva, D., Harrison, R., Lam, C., Nooijen, M., Ramanujam, J., & Sadayappan, P. (2002). A performance optimization framework for compilation of tensor contraction expressions into parallel. Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2002, 106. https://doi.org/10.1109/IPDPS.2002.1016492
