Techniques for Optimizing Applications: High Performance Computing

Rajat P. Garg,Ilya Sharapov

ISBN 10: 0130934763 / ISBN 13: 9780130934765

Published by Prentice Hall July 2001, 2001

About this Item

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Seller Inventory # 513249

Bibliographic Details

• Title: Techniques for Optimizing Applications: High Performance Computing
• Publisher: Prentice Hall July 2001
• Publication Date: 2001
• Language: English
• ISBN 10: 0130934763
• ISBN 13: 9780130934765
• Binding: Paper Back
• Condition: Very Good
• Seller catalogs:
  • Textbooks

About this title

Synopsis

This book is a practical guide to performance optimization of computationally intensive programs on Sun UltraSPARC platforms, for developers of technical or high-performance computer (HPC) applications for Solaris who are familiar with development in UNIX environments, programming in C and Fortran, and parallel programming. This audience includes both independent software vendor developers and non-commercial developers. The book may also be helpful to technical application end-users seeking to understand principles of HPC. Garg works on compiler performance analysis and benchmarking at Sun Microsystems. Sharapov works on performance analysis and optimization of applications at Sun Microsystems. Annotation c. Book News, Inc., Portland, OR (booknews.com)

About the Author

RAJAT P. GARG is a staff engineer in the Performance Technologies Group at Sun Microsystems, where he works on compiler performance analysis and benchmarking. Prior to that, he worked in the Market Development Engineering group, optimizing third-party scientific and technical applications on Sun UltraSPARC systems. He has published over a dozen articles in peer-reviewed technical journals and conferences and has three U.S. patents pending. He obtained a PhD degree in Mechanical Engineering from Stanford University, Palo Alto, California in 1996.

ILYA SHARAPOV is a member of the Market Development Engineering group at Sun Microsystems where he works on performance analysis and optimization of applications for mechanical computer-aided engineering, computational chemistry, and bioinformatics. He has published a number of papers on software engineering and optimization. He received his PhD degree in Mathematics from the University of California, Los Angeles in 1997.