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High-Performance Computing: Paradigm and Infrastructure Hardcover - 2005 - 1st Edition
by Laurence T. Yang; Minyi Guo
First line
Traditionally, parallel programs are designed using low-level message-passing libraries, such as PVM [18] or MPI [29].
From the rear cover
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.
Details
- Title High-Performance Computing: Paradigm and Infrastructure
- Author Laurence T. Yang; Minyi Guo
- Binding Hardcover
- Edition number 1st
- Edition 1
- Pages 816
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience
- Date August 12, 2005
- Illustrated Yes
- Features Illustrated, Index, Table of Contents
- ISBN 9780471654711 / 047165471X
- Weight 2.83 lbs (1.28 kg)
- Dimensions 9.54 x 6.34 x 1.64 in (24.23 x 16.10 x 4.17 cm)
- Library of Congress subjects Parallel processing (Electronic computers), Electronic data processing - Distributed
- Library of Congress Catalog Number 2004028291
- Dewey Decimal Code 004.35
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HIGH PERFORMANCE COMPUTING: PARADIGM AND INFRASTRUCTURE
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