Self-adapting software for numerical linear algebra library routines on clusters

Authors:
Zizhong Chen;Jack Dongarra;Piotr Luszczek;Kenneth Roche
Affiliations:
Computer Science Department, University of Tennessee Knoxville, Knoxville, TN;Computer Science Department, University of Tennessee Knoxville, Knoxville, TN;Computer Science Department, University of Tennessee Knoxville, Knoxville, TN;Computer Science Department, University of Tennessee Knoxville, Knoxville, TN
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Year:
2003

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Abstract

This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project. It has been developed in the framework of Self-Adapting Numerical Software (SANS) since we believe such an approach can deliver the convenience and ease of use of existing sequential environments bundled with the power and versatility of highly-tuned parallel codes that execute on clusters. Accomplishing this task is far from trivial as we argue in the paper by presenting pertinent case studies and possible usage scenarios.