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Parallel Computing Technologies
This book constitutes the refereed proceedings of the 7th International Conference on Parallel Computing Technologies, PaCT 2003, held in Novosibirsk, Russia in September 2003. The 38 revised full papers presented together with 4 invited papers and 10 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on theory, software, applications, and tools. A broad variety of parallel processing issues and distributed computing in general are addressed.
High Performance Computing for Computational Science - VECPAR 2004
This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on High Performance Computing for Computational Science, VECPAR 2004, held in Valencia, Spain, in June 2004. The 48 revised full papers presented together with 5 invited papers were carefully selected during two rounds of reviewing and improvement from initially 130 contributions. The papers are organized in topical sections on large-scale computations, data management and data mining, GRID computing infrastructure, cluster computing, parallel and distributed computing, and computational linear and non-linear algebra.
Official Gazette
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Introduction to Parallel Computing
Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.
Chronographia
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