STAPL: An Adaptive, Generic Parallel C++ Library-Reference-Cited by-同舟云学术

STAPL: An Adaptive, Generic Parallel C++ Library

Published:2003 Issue: Volume: Page:193-208
ISSN:0302-9743
Container-title:Languages and Compilers for Parallel Computing
language:
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Author:

An Ping,Jula Alin,Rus Silvius,Saunders Steven,Smith Tim,Tanase Gabriel,Thomas Nathan,Amato Nancy,Rauchwerger Lawrence

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-35767-X_13

Reference24 articles.

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2. N.M. Amato, J. Perdue, A. Pietracaprina, G. Pucci, and M. Mathis. Predicting performance on SMPs. a case study: The SGI Power Challenge. In Proc. International Parallel and Distributed Processing Symposium (IPDPS), pages 729–737, 2000.

3. N. M. Amato, A. Pietracaprina, G. Pucci, L. K. Dale, and J. Perdue. A cost model for communication on a symmetric multiprocessor. Technical Report 98-004, Dept. of Computer Science, Texas A&M University, 1998. A preliminary verson of this work was presented at the SPAA’98 Revue.

4. Ping An, Alin Jula, Silvius Rus, Steven Saunders, Tim Smith, Gabriel Tanase, Nathan Thomas, Nancy Amato, and Lawrence Rauchwerger. Stapl: An adaptive, generic parallel programming library for c++. Technical Report TR01-012, Dept. of Computer Science, Texas A&M University, June 2001.

5. Emery Berger, Kathryn McKinley, Robert Blumofe, and Paul Wilson. HOARD: A scalable memory allocator for multithreaded applications. In International Conference on Architectural Support for Programming Languages and Operatings Systems (ASPLOS), 2000.

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