Handbook of Parallel Computing

Handbook of Parallel Computing

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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.Each parallel thread executes at its own speed, without ever needing to synchronize with another thread the architecture. There is merit to this a€œmanual solutiona€ beyond its tentative role until the compiler matures. Such a solution ... To facilitate that, an independence of order semantics (IOS) was introduced. Inspired by theanbsp;...

Title:Handbook of Parallel Computing
Author:Sanguthevar Rajasekaran, John Reif
Publisher:CRC Press - 2007-12-20


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