Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models

Abstract

This paper provides an overview of a program synthesis system for a class of quantum chemistry computations. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. The input to the system is a a high-level specification of the computation, from which the system can synthesize high-performance parallel code tailored to the characteristics of the target architecture. Several components of the synthesis system are described, focusing on performance optimization issues that they address.

DOI: 10.1109/JPROC.2004.840311

Extracted Key Phrases

13 Figures and Tables

01020'04'05'06'07'08'09'10'11'12'13'14'15'16'17
Citations per Year

123 Citations

Semantic Scholar estimates that this publication has 123 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Baumgartner2005SynthesisOH, title={Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry Models}, author={Gerald Baumgartner and Alexander A. Auer and David E. Bernholdt and Alina Bibireata and Venkatesh Choppella and Daniel Cociorva and Xiaoyang Gao and Robert J. Harrison and So Hirata and Sriram Krishnamoorthy and Sandhya Krishnan and Chi-Chung Lam and Qingda Lu and Marcel Nooijen and Russell M. Pitzer and J. Ramanujam and P. Sadayappan and Alexander Sibiryakov}, journal={Proceedings of the IEEE}, year={2005}, volume={93}, pages={276-292} }