Object oriented parallelisation of graph algorithms using parallel iterator
AusPDC '10 Proceedings of the Eighth Australasian Symposium on Parallel and Distributed Computing - Volume 107
Algorithm engineering: bridging the gap between algorithm theory and practice
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An optimal hidden-surface algorithm and its parallelization
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
Distributed media indexing based on MPI and MapReduce
Multimedia Tools and Applications
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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.