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This book is a guide to numerical methods for solving fluid dynamics problems. The most widely used discretization and solution methods;
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, parallel and distributed processing must become the computing mainstream. This implies a need for new architectures of parallel and distributed;
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of Parallel Computing and Statistics systematically applies the principles of parallel computing for solving increasingly complex problems;
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, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application;
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for Undergraduate Students) - HeteroPar 2016 (the 14th International Workshop on Algorithms, Models and Tools for Parallel Computing on;
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Data Management in Clouds - Euro-EDUPAR: First European Workshop on Parallel and Distributed Computing Education for Undergraduate Students;
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problems. Comprehensive introduction to parallel programming with CUDA, for readers new to bothDetailed instructions help;
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systems High level parallel programming languages and systems, methods and tools for parallel solution of large-scale problems, languages;
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programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered;
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analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing;
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The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable;
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Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel;
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generation of quality grids for complex three-dimensional geometries; parallel mesh generation algorithms; mesh adaptation, including both;
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analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing;
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-level, and abstract models; and much more. Parallel and Distributed Computing is a perfect tool for students and can be used as a foundation;
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Parallel and Distributed Computing Applications examines various dimensions of parallel and distributed computing applications along with;
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in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix computations, parallel;
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Conference on Applied Parallel and Scientific Computing, PARA 2010, held in Reykjavik, Iceland, in June 2010. These volumes contain three keynote;
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This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and;
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Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more;
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Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the;
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Unit), originally designed for high-speed graphics processing, and FPGA's (Free Programmable Gate Array) to build parallel computers with a;
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common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however;
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integrals for functions with multiple singularities is replaced by a sequence of 1D operations, thus enabling accurate MATLAB calculations on a;
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of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization;
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