A Practical Programming Model for the Multi-Core Era

A Practical Programming Model for the Multi-Core Era : International Workshop on OpenMP, IWOMP 2007 Beijing, China, June 3-7, 2007, Proceedings

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The Third International Workshop on OpenMP, IWOMP 2007, was held at Beijing,China.This year'sworkshopcontinuedits traditionofbeingthe premier opportunity to learn more about OpenMP, to obtain practical experience and to interact with OpenMP users and developers. The workshop also served as a forum for presenting insights gained by practical experience, as well as research ideas and results related to OpenMP. A total of 28 submissions were received in response to a call for papers. Each submissionwasevaluatedbythreereviewersandadditionalreviewswerereceived for some papers. Based on the feedback received, 22 papers were accepted for inclusion in the proceedings. Of the 22 papers, 14 were accepted as full papers. We also accepted eight short papers, for each of which there was an opportunity to givea shortpresentationat the workshop,followed byposter demonstrations. Each paper was judged according to its originality, innovation, readability, and relevance to the expected audience. Due to the limited scope and time of the workshop and the high number of submissions received, only 50% of the total submissions were able to be included in the ?nal program. In addition to the contributed papers, the IWOMP 2007 program featured several keynote and banquet speakers: Trevor Mudge, Randy Brown, and Shah, Sanjiv. These speakers were selected due to their signi?cant contributions and reputation in the ?eld. A tutorial session and labs were also associated with IWOMP 2007.
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Product details

  • Paperback | 207 pages
  • 154 x 232 x 14mm | 358.34g
  • Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Berlin, Germany
  • English
  • 2008 ed.
  • XII, 207 p.
  • 3540693025
  • 9783540693024

Back cover copy

This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on OpenMP, IWOMP 2007, held in Beijing, China, in June 2007.

The 14 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 28 submissions. The papers address all topics related to OpenMP, such as OpenMP performance analysis and modeling, OpenMP performance and correctness tools and proposed OpenMP extensions, as well as applications in various domains, e.g., scientific computation, video games, computer graphics, multimedia, information retrieval, optimization, text processing, data mining, finance, signal and image processing, and numerical solvers.
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Table of contents

A Proposal for Task Parallelism in OpenMP.- Support for Fine Grained Dependent Tasks in OpenMP.- Performance Evaluation of a Multi-zone Application in Different OpenMP Approaches.- Transactional Memory and OpenMP.- OpenMP on Multicore Architectures.- Supporting OpenMP on Cell.- CMP Cache Architecture and the OpenMP Performance.- Exploiting Loop-Level Parallelism for SIMD Arrays Using OpenMP.- OpenMP Extensions for Irregular Parallel Applications on Clusters.- Optimization Strategies Using Hybrid MPI+OpenMP Parallelization for Large-Scale Data Visualization on Earth Simulator.- An Investigation on Testing of Parallelized Code with OpenMP.- Loading OpenMP to Cell: An Effective Compiler Framework for Heterogeneous Multi-core Chip.- OpenMP Implementation of Parallel Linear Solver for Reservoir Simulation.- Parallel Data Flow Analysis for OpenMP Programs.- Design and Implementation of OpenMPD: An OpenMP-Like Programming Language for Distributed Memory Systems.- A New Memory Allocation Model for Parallel Search Space Data Structures with OpenMP.- Implementation of OpenMP Work-Sharing on the Cell Broadband Engine Architecture.- Toward an Automatic Code Layout Methodology.- An Efficient OpenMP Runtime System for Hierarchical Architectures.- Problems, Workarounds and Possible Solutions Implementing the Singleton Pattern with C++ and OpenMP.- Web Service Call Parallelization Using OpenMP.- Distributed Implementation of OpenMP Based on Checkpointing Aided Parallel Execution.
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