High Performance Computing
Paradigm and Infrastructure
Laurence T. Yang, Minyi Guo - Collection Wiley Series on Parallel and Distributed Computing
Résumé
With hyperthreading in Intel processors, hypertransport links in next generation AMD processors, multi-core silicon in today's high-end microprocessors from IBM and emerging grid computing, parallel and distributed computers have moved into the mainstream. High Performance Computing: Paradigm and Infrastructure presents the most recent advances in parallel and distributed computing from experts in the field:
- The most recent advances in parallel and distributed computing from experts in the field
- Serves as a unique format for professionals to present, discuss, and exchange their recent advances, new ideas, results, works-in-progress, and experiences in the areas of parallel and distributed computing for science and engineering applications
- All chapters written with introduction, detailed background, and in-depth discussion
L'auteur - Laurence T. Yang
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.
L'auteur - Minyi Guo
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.
Sommaire
- 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 heterogeneous systems
- 6 Nested parallelism and pipelining in OpenMP
- 7 OpenMP for chip multiprocessors
- 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
- 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
- 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
- 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
- Wireless and Mobile Computing
- 33 Study of cache-enhanced dynamic movement-based location management schemes for 3G cellular networks
- 34 Maximizing multicast lifetime in wireless ad hoc networks
- 35 A QoS-aware scheduling algorithm for Bluetooth scatternets
- 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 periodic comparisons of gene sequences
- 40 A hierarchical distributed shared-memory parallel branch & bound application with PVM and OpenMP for multiprocessor clusters
- 41 IP based telecommunication services
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Wiley |
| Auteur(s) | Laurence T. Yang, Minyi Guo |
| Collection | Wiley Series on Parallel and Distributed Computing |
| Parution | 21/12/2005 |
| Nb. de pages | 778 |
| Format | 16 x 24 |
| Couverture | Broché |
| Poids | 1210g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780471654711 |
| ISBN13 | 978-0-471-65471-1 |
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