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OpenMP Shared Memory Parallel Programming International Workshop on OpenMP Applications and Tools, WOMPAT 2003, Toronto, Canada, June 26-27, 2003. Proceedings

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Beschreibung

This book contains the proceedings of the Workshop on OpenMP Applications and Tools, WOMPAT 2003. WOMPAT 2003 was held on June 26and 27, 2003 in Toronto, Canada. The workshop brought together the users and developers of the OpenMP API to meet, share ideas and experiences, and to discuss the latest developments...

Beschreibung

This book contains the proceedings of the Workshop on OpenMP Applications and Tools, WOMPAT 2003. WOMPAT 2003 was held on June 26and 27, 2003 in Toronto, Canada. The workshop brought together the users and developers of the OpenMP API to meet, share ideas and experiences, and to discuss the latest developments in OpenMP and its applications. The OpenMP API is now a widely accepted standard for high-level shar- memory parallel programming. Since its introduction in 1997, OpenMP has gained support from the majority of high-performance compiler and hardware vendors. WOMPAT 2003 was the latest in a series of OpenMP-related workshops, which have included the annual o?erings of the Workshop on OpenMP Appli- tions and Tools (WOMPAT), the European Workshop on OpenMP (EWOMP) and the Workshop on OpenMP: Experiences and Implementations (WOMPEI). The WOMPAT 2003 program committee formally solicited papers. Extended abstracts were submitted by authors and all abstracts were reviewed by three members of the program committee. Of the 17 submitted abstracts, 15 were selected for presentation at the workshop. This book was published in time to be available at WOMPAT 2003, and therefore we hope that the papers contained herein are timely and useful for current developers and researchers. This book also contains selected papers from WOMPAT 2002. No formal proceedings had been created for this previous o?ering of the workshop, and so presenters were invited to prepare their papers for inclusion in this volume.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.06.2003

Abbildungen

VIII, 270 p.

Herausgeber Michael J. Voss

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.06.2003

Abbildungen

VIII, 270 p.

Herausgeber Michael J. Voss
Verlag Springer Berlin
Seitenzahl

270

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

2003

Sprache

Englisch

ISBN

978-3-540-40435-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: OpenMP Shared Memory Parallel Programming
  • Produktbild: OpenMP Shared Memory Parallel Programming
  • Tools and Tool Technology I.- OpenMP Support in the Intel® Thread Checker.- A C++ Infrastructure for Automatic Introduction and Translation of OpenMP Directives.- Analyses for the Translation of OpenMP Codes into SPMD Style with Array Privatization.- A Runtime Optimization System for OpenMP.- OpenMP Implementations.- A Practical OpenMP Compiler for System on Chips.- Evaluation of OpenMP for the Cyclops Multithreaded Architecture.- Busy-Wait Barrier Synchronization Using Distributed Counters with Local Sensor.- OpenMP Experience.- An OpenMP Implementation of Parallel FFT and Its Performance on IA-64 Processors.- OpenMP and Compilation Issue in Embedded Applications.- Parallelizing Parallel Rollout Algorithm for Solving Markov Decision Processes.- Tools and Tool Technology II.- DMPL: An OpenMP DLL Debugging Interface.- Is the Schedule Clause Really Necessary in OpenMP?.- Extended Overhead Analysis for OpenMP Performance Tuning.- OpenMP on Clusters.- Supporting Realistic OpenMP Applications on a Commodity Cluster of Workstations.- OpenMP Runtime Support for Clusters of Multiprocessors.- Selected Papers from WOMPAT 2002.- An Evaluation of MPI and OpenMP Paradigms for Multi-Dimensional Data Remapping.- Experiences Using OpenMP Based on Compiler Directed Software DSM on a PC Cluster.- Managing C++ OpenMP Code and Its Exception Handling.- Improving the Performance of OpenMP by Array Privatization.- OpenMP Application Tuning Using Hardware Performance Counters.