Laurence T. Yang, Minyi Guo

High-Performance Computing (eBook, PDF)

Paradigm and Infrastructure

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 500
• Erscheinungstermin: 20. Januar 2006
• Englisch
• ISBN-13: 9780471732709
• Artikelnr.: 37358661

Autorenporträt

LAURENCE T. YANG is a Professor of Computer Science, St. Francis Xavier University, Canada. Dr. Yang served as the vice chair of IEEE Technical Committee of Supercomputing Applications (TCSA) until 2004 and as an executive committee member of the IEEE Technical Committee of Scalable Computing (TCSC) since 2004. Dr. Yang has also received many awards, including the Distinguished Contribution Award, 2004; Technical Achievement Award, 2004; Outstanding Achievement Award, 2002, University Research/Publication/Teaching Award, 2000-2001/2002-2003/2003-2004, and Canada Foundation for Innovation (CFI) Award, 2003. MINYI GUO received his PhD from the University of Tsukuba, Japan. He is currently an Associate Professor in the Department of Computer Software at the University of Aizu, Japan. In addition, Dr. Guo is Editor in Chief of the International Journal of Embedded Systems, and has written and edited books in the area of parallel and distributed computing, as well as embedded and ubiquitous computing.

Inhaltsangabe

Preface. Contributors. PART 1. PROGRAMMING MODEL. 1. ClusterGOP: A
High-Level Programming Environment for Clusters. 2. The Challenge of
Providing A High-Level Programming Model for High-Performance Computing. 3.
SAT: Toward Structured Parallelism Using Skeletons. 4. Bulk-Synchronous
Parallelism: An Emerging Paradigm of High-Performance Computing. 5. Cilk
Versus MPI: Comparing Two Parallel Programming Styles on Heterogenous
Systems. 6. Nested Parallelism and Pipelining in OpenMP. 7. OpenMP for Chip
Multiprocessors. PART 2. ARCHITECTURAL AND SYSTEM SUPPORT. 8. Compiler and
Run-Time Parallelization Techniques for Scientific Computations on
Distributed-Memory Parallel Computers. 9. Enabling Partial-Cache Line
Prefetching Through Data Compression. 10. MPI Atomicity and Concurrent
Overlapping I/O. 11. Code Tiling: One Size Fits All. 12. Data Conversion
for Heterogeneous Migration/Checkpointing. 13. Receiving-Message Prediction
and Its Speculative Execution. 14. An Investigation of the Applicability of
Distributed FPGAs to High-Performance Computing. PART 3. SCHEDULING AND
RESOURCE MANAGEMENT. 15. Bandwidth-Aware Resource Allocation for
Heterogeneous Computing Systems to Maximize Throughput. 16. Scheduling
Algorithms with Bus Bandwidth Considerations for SMPs. 17. Toward
Performance Guarantee of Dynamic Task Scheduling of a Parameter-Sweep
Application onto a Computational Grid. 18. Performance Study of Reliability
Maximization and Turnaround Minimization with GA-based Task Allocation in
DCS. 19. Toward Fast and Efficient Compile-Time Task Scheduling in
Heterogeneous Computing Systems. 20. An On-Line Approach for Classifying
and Extracting Application Behavior on Linux. PART 4. CLUSTERS AND GRID
COMPUTING. 21. Peer-to-Peer Grid Computing and a .NET-Based Alchemi
Framework. 22. Global Grids and Software Toolkits: A Study of Four Grid
Middleware Technologies. 23. High-Performance Computing on Clusters: The
Distributed JVM Approach. 24. Data Grids: Supporting Data-Intensive
Applications in Wide-Area Networks. 25. Application I/O on a Parallel File
System for Linux Clusters. 26. One Teraflop Achieved with a Geographically
Distributed Linux Cluster. 27. A Grid-Based Distributed Simulation of
Plasma Turbulence. 28. Evidence-Aware Trust Model for Dynamic Services.
PART 5. PEER-TO-PEER COMPUTING. 29. Resource Discovery in Peer-to-Peer
Infrastructures. 30. Hybrid Periodical Flooding in Unstructured
Peer-to-Peer Networks. 31. HIERAS: A DHT-Based Hierarchical P2P Routing
Algorithm. 32. Flexible and Scalable Group Communication Model for
Peer-to-Peer Systems. PART 6. WIRELESS AND MOBILE COMPUTING. 33. Study of
Cache-Enhanced Dynamic Movement-Based Location Management Schemes for 3G
Cellular Networks. 33. 1 Introduction. 34. Maximizing Multicast Lifetime in
Wireless Ad Hoc Networks. 35. A QoS-Aware Scheduling Algorithm for
Bluetooth Scatternets. PART 7. HIGH PERFORMANCE APPLICATIONS. 36. A
Workload Partitioner for Heterogeneous Grids. 37. Building a User-Level
Grid for Bag-of-Tasks Applications. 38. An Efficient Parallel Method for
Calculating the Smarandache Function. 39. Design, Implementation and
Deployment of a Commodity Cluster for Peirodic Comparison of Gene
Sequences. 40. A Hierarchical Distributed Shared-Memory Parallel Branch &
Bound Application with PVM and OpenMP on Multiprocessor Clusters. 41. IP
Based Telecommunication Services. Index.

Rezensionen

"In this book, the reader will obtain a bird s-eye view on the diversity of problems and approaches in the field of HPC." ( Computing Reviews.com , August 24, 2006)