Result: Performance modeling and optimization of parallel out-of-core tensor contractions

Title:
Performance modeling and optimization of parallel out-of-core tensor contractions
Source:
PPoPP'05 (Proceedings of the 2005 ACM SIGPLAN symposium on principles and practice of parallel programming). :266-276
Publisher Information:
New York NY: ACM Press, 2005.
Publication Year:
2005
Physical Description:
print, 25 ref 1
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Computer Science and Engineering The Ohio State University, United States
Dept. of Electrical and Computer Engineering Louisiana State University, United States
Dept. of Computer Science Louisiana State University, United States
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18182690
Database:
PASCAL Archive

Further Information

The Tensor Contraction Engine (TCE) is a domain-specific compiler for implementing complex tensor contraction expressions arising in quantum chemistry applications modeling electronic structure. This paper develops a performance model for tensor contractions, considering both disk I/O as well as inter-processor communication costs, to facilitate performance-model driven loop optimization for this domain. Experimental results are provided that demonstrate the accuracy and effectiveness of the model.