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Computational Methods For Fluid Dynamics

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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Distributed and Parallel Computing

, parallel and distributed processing must become the computing mainstream. This implies a need for new architectures of parallel and distributed;

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Handbook of Parallel Computing and Statistics

of Parallel Computing and Statistics systematically applies the principles of parallel computing for solving increasingly complex problems;

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Handbook on Soft Computing for Video Surveillance

, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application;

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Euro-Par 2016: Parallel Processing Workshops

for Undergraduate Students) - HeteroPar 2016 (the 14th International Workshop on Algorithms, Models and Tools for Parallel Computing on;

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Euro-Par 2015: Parallel Processing Workshops

Data Management in Clouds - Euro-EDUPAR: First European Workshop on Parallel and Distributed Computing Education for Undergraduate Students;

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CUDA Programming

problems. Comprehensive introduction to parallel programming with CUDA, for readers new to bothDetailed instructions help;

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Parallel Computing Technologies

systems High level parallel programming languages and systems, methods and tools for parallel solution of large-scale problems, languages;

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Python Parallel Programming Cookbook

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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Parallel Processing and Applied Mathematics

analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing;

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Introduction to Parallel Computing

The constantly increasing demand for more computing power can seem impossible to keep up with. However, multicore processors capable;

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Patterns for Parallel Programming (paperback)

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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New Challenges in Grid Generation and Adaptivity for Scientific Computing

generation of quality grids for complex three-dimensional geometries; parallel mesh generation algorithms; mesh adaptation, including both;

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Parallel Processing and Applied Mathematics

analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing;

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Parallel and Distributed Computing

-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

Parallel and Distributed Computing Applications examines various dimensions of parallel and distributed computing applications along with;

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Parallel Scientific Computing and Optimization

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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Applied Parallel and Scientific Computing

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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Computational Technologies

This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and;

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Parallel Computing for Bioinformatics and Computational Biology

Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more;

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Introduction To Parallel Algorithms

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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Parallel Computing

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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Performance Modelling Techniques for Parallel Supercomputing Applications

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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Tensor Numerical Methods in Quantum Chemistry

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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Parallel Processing of Discrete Problems

of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization;

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