High-Performance Computing: Paradigm and Infrastructure

High-Performance Computing: Paradigm and Infrastructure

Editor(s): Laurence T. Yang, Minyi Guo

Published Online: 23 JAN 2006

Print ISBN: 9780471654711

Online ISBN: 9780471732716

DOI: 10.1002/0471732710

Series Editor(s): Albert Y. Zomaya

About this Book

The state of the art of high-performance computing

Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including:
* Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk
* Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC
* Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms
* Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues
* Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance
* Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms
* High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols

High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.

Table of contents

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  1. Part 1: Programming Model

  2. Part 2: Architectural and System Support

    1. Chapter 10

      MPI Atomicity and Concurrent Overlapping I/O (pages 203–218)

      W. Liao, A. Choudhary, K. Coloma, L. Ward, E. Russell and N. Pundit

    2. Chapter 13

      Receiving-Message Prediction and its Speculative Execution (pages 261–275)

      Takanobu Baba, Takashi Yokota, Kanemitsu Ootsu, Fumihito Furukawa and Yoshiyuki Iwamoto

  3. Part 3: Scheduling and Resource Management

    1. Chapter 16

      Scheduling Algorithms with Bus Bandwidth Considerations for SMPs (pages 313–332)

      Christos D. Antonopoulos, Dimitrios S. Nikolopoulos and Theodore S. Papatheodorou

    2. Chapter 20

      An On-Line Approach for Classifying and Extracting Application Behavior on Linux (pages 381–401)

      Luciano José Senger, Rodrigo Fernandes de Mello, Marcos José Santana, Regina Helena, Carlucci Santana and Laurence T. Yang

  4. Part 4: Clusters and Grid Computing

    1. Chapter 22

      Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies (pages 431–458)

      Parvin Asadzadeh, Rajkumar Buyya, Chun Ling Kei, Deepa Nayar and Srikumar Venugopal

    2. Chapter 26

      One Teraflop Achieved with a Geographically Distributed Linux Cluster (pages 511–522)

      Peng Wang, George Turner, Steven Simms, Dave Hart, Mary Papakhian and Craig Stewart

    3. Chapter 27

      A Grid-Based Distributed Simulation of Plasma Turbulence (pages 523–534)

      S. Briguglio, Beniamino di Martino, G. Fogaccia, G. Vlad and Salvatore Venticinque

  5. Part 5: Peer-to-Peer Computing

  6. Part 6: Wireless and Mobile Computing

  7. Part 7: High Performance Applications

    1. Chapter 37

      Building a User-Level Grid for Bag-of-Tasks Applications (pages 705–723)

      Walfredo Cirne, Francisco Brasileiro, Daniel Paranhos, Lauro Costa, Elizeu Santos-Neto and Carla Osthoff Barros

    2. Chapter 39

      Design, Implementation and Deployment of a Commodity Cluster for Periodic Comparisons of Gene Sequences (pages 733–744)

      Anita M. Orendt, Brian Haymore, David Richardson, Sofia Robb, Alejandro Sanchez Alvarado and Julio C. Facelli

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