Handbook of Parallel Computing: Models, Algorithms and Applications (08 Edition)

The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on all aspects of this field.

The first section of the book describes parallel models. It covers evolving computational systems, the decomposable bulk synchronous model, parallel random access machine-on-chip architecture, the parallel disks model, mobile agents, fault-tolerant computing, hierarchical performance modeling, the partitioned optical passive star network, and the reconfigurable mesh model. The subsequent section on parallel algorithms examines networks of workstations, grid and packet scheduling, the derandomization technique, isosurface extraction and rendering, suffix trees, and mobile computing algorithmics. The final part of the text highlights an array of problems and offers ways to combat these challenges.

This volume provides an up-to-date assessment of the models and algorithms involved in applying parallel computing to a variety of fields, from computational biology to wireless networking.

The 47 chapters of this handbook offer current theory and applications in the field. Written by scientists at universities and labs in the U.S., Canada, Israel, and Europe, the chapters are carefully organized in outline form, with a table of contents and list of references for each. Among the parallel models described are membrane computing, the Optical Transpose Interconnection System, parallel disk model, and Inthreads. Sixteen chapters are devoted to parallel algorithms, addressing issues that include grid scheduling, packet scheduling in WDM, and derandomization technique and applications. The final 14 chapters discuss and troubleshoot a variety of issues associated with parallel applications, including latency, data storage and retrieval, communication and data transfer, and call admission control problem mitigation. This will be essential reading for researchers, and can also be used as a text for graduate seminars. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

Exploring recent developments in parallel computing, this handbook provides an up-to-date assessment of the models and algorithms involved in applying parallel computing to a variety of fields, from computational biology to wireless networking.

Parallel computing plays a vital role in solving complex computing problems. The Handbook of Parallel Computing; Models, Algorithms, and Applications provides comprehensive coverage on all aspects of parallel computing, focusing on the foundational principles and recent advances in the areas of models, algorithms, and applications. This book addresses applications to computational biology, homeland security, and simulations of parallelism such as fuel cells, biological cells, and coastal waves. It covers the parallel disk model, which has been proposed to alleviate the input and output bottleneck. The book also presents recently discovered parallel clustering algorithms that are relevant to processing large datasets.