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), Open MP, 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 Mig Thread 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
Qo S-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.
Sobre o autor
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 Ph D 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.
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