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High Performance Scientific and Engineering Computing

Hardware/Software Support

  • Book
  • © 2004

Overview

Editors:
  1. Laurence Tianruo Yang

    1. St. Francis Xavier University, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Yi Pan

    1. Georgia State University, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 750)

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xii
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  2. Compilation and Architectural Support

    1. Front Matter

      Pages 1-1
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    2. Multithreaded Parallelism with OpenMP

      • Raimi A. Rufai, Muslim Bozyigit, Jarallah S. AlGhamdi, Moataz Ahmed
      Pages 3-14

    3. Linear Data Distribution based on Index Analysis

      • Minyi Guo
      Pages 15-29

    4. Quantification of Memory Communication

      • Surendra Byna, Kirk W. Cameron, Xian-He Sun
      Pages 31-44

    5. The Need for Adaptive Dynamic Thread Scheduling

      • Chulho Shin, Seong-Won Lee, Jean-Luc Gaudiot
      Pages 45-59

  4. Load Balancing

    1. Front Matter

      Pages 93-93
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    2. Load Balancing in SPMD Applications: Concepts and Experiments

      • A. Plastino, V. Thomé, D. Vianna, R. Costa, O. T. da Silveira Filho
      Pages 95-107

    3. Dynamic Load Balance Strategy: Application to Nonlinear Optics

      • A. Bourgeade, B. Nkonga
      Pages 109-125

    4. Message-Passing Parallel Adaptive Quantum Trajectory Method

      • R. L. Cariño, I. Banicescu, R. K. Vadapalli, C. A. Weatherford, J. Zhu
      Pages 127-139

  5. Performance Evaluation

    1. Front Matter

      Pages 141-141
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    2. Verifying Large-Scale System Performance During Installation Using Modelling

      • Darren J. Kerbyson, Adolfy Hoisie, Harvey J. Wasserman
      Pages 143-156

    3. Mixed Level Modelling and Simulation of Large Scale HW/SW Systems

      • Murali K. Nethi, James H. Aylor
      Pages 157-166

  6. Grid Computing

    1. Front Matter

      Pages 167-167
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    2. Engineering an Autonomic Partitioning Framework for Grid-based SAMR Applications

      • S. Chandra, X. Li, M. Parashar
      Pages 169-187

    3. A Resource Discovery Service for a Mobile Agents Based Grid Infrastructure

      • R. Aversa, B. Di Martino, N. Mazzocca, S. Venticinque
      Pages 189-200

    4. xDGDL: Towards an XML-based Datagrid Description Language

      • Erich Schikuta
      Pages 201-214
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Keywords

About this book

High Performance Scientific And Engineering Computing: Hardware/Software Support contains selected chapters on hardware/software support for high performance scientific and engineering computing from prestigious workshops in the fields such as PACT-SHPSEC, IPDPS-PDSECA and ICPP-HPSECA. This edited volume is basically divided into six main sections which include invited material from prominent researchers around the world. We believe all of these contributed chapters and topics not only provide novel ideas, new results and state-of-the-art techniques in this field, but also stimulate the future research activities in the area of high performance computing for science and engineering applications.
High Performance Scientific And Engineering Computing: Hardware/Software Support is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Editors and Affiliations

  • St. Francis Xavier University, Canada

    Laurence Tianruo Yang

  • Georgia State University, USA

    Yi Pan

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