High-Performance Computing / Wiley Series on Parallel and Distributed Computing (PDF)

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.