Yann-Hang Lee (ed.); Heung-Nam Kim (ed.); Jong Kim (ed.); Yongwan Park (ed.); Laurence T. Yang (ed.); Sung Won Kim (ed.) Springer (2007) Pehmeäkantinen kirja
Ivan Stojmenovic (ed.); Ruppa K. Thulasiram (ed.); Laurence T. Yang (ed.); Weijia Jia (ed.); Minyi Guo (ed.); Rod de Mello Springer (2007) Pehmeäkantinen kirja
Ronald Perrott (ed.); Barbara Chapman (ed.); Jaspal Subhlok (ed.); Rodrigo Fernandes de Mello (ed.); Laurence T. Yang (ed.) Springer (2007) Pehmeäkantinen kirja
John Wiley & Sons Inc Sivumäärä: 816 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2005, 02.12.2005 (lisätietoa) Kieli: Englanti
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.
