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Parallel Scientific Computing and Optimization

Parallel Scientific Computing and Optimization introduces new developments in the construction, analysis, and implementation of parallel;

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Scientific Computing in Chemical Engineering

, process simulation, process optimization and the use of parallel computing is detailed.;

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Introduction to High Performance Computing for Scientists and Engineers

solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for;

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Modeling, Simulation and Optimization of Complex Processes HPSC 2018

control, machine learning, parallel computing and software development, as well as the applications of scientific computing in mechanical;

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Modeling, Simulation and Optimization of Complex Processes - HPSC 2012

modeling; numerical simulation; methods for optimization and control; parallel computing; software development; and applications of scientific;

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Tools for High Performance Computing 2014

complex scientific applications and optimization of energy usage in the spirit of green IT. This book represents the proceedings of the 8th;

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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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Scientific Computing with Scala

formats used to store scientific data * Use Breeze for linear algebra, optimization, and digital signal processing * Gain insight into Saddle;

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Large-Scale Scientific Computing

invited talks. The papers were organized in topical sections named as follows: control and optimization of dynamical systems; meshfree and;

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Languages and Compilers for Parallel Computing

, automatic parallelization, optimization of parallel programs, formal analysis and verification of parallel programs, parallel runtime systems, task;

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High-Performance Computing on the Intel (R) Xeon Phi (TM)

products efficiently. To that end, it introduces some computing grammar, programming technology and optimization methods for using many-integrated;

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Languages and Compilers for Parallel Computing

from 26 submissions. Specific topics are compiling for parallelism and parallel compilers, static, dynamic, and adaptive optimization;

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Handbook of Parallel Computing and Statistics

architecture, programming, and computational aspects of parallel processing. Focus then turns to optimization methods followed by statistical;

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Parallel & Distributed Scientific & Engineering Computing

algorithms for their scientific and engineering applications. Parallel and distributed scientific and engineering computing has become a key;

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Large-Scale Scientific Computing

and optimization; Parallel algorithms and performance analysis; Large-scale computations of environmental, biomedical and engineering;

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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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Parallel and Distributed Processing Techniques and Applications

Parallel and Distributed Processing Techniques and Applications is a compendium of articles and papers that were presented at PDPTA '14, an;

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Parallel and Distributed Processing Techniques and Applications

Parallel and Distributed Processing Techniques and Applications is a compendium of articles and papers that were presented at PDPTA '13, an;

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Applied Parallel & Distributed Computing

algorithms for their scientific and engineering applications. Parallel and distributed scientific and engineering computing has become a key;

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Parallel Processing and Applied Mathematics

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing;

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Parallel Processing and Applied Mathematics

The two-volume set LNCS 10777 and 10778 constitutes revised selected papers from the 12th International Conference on Parallel Processing;

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Designing and Building Parallel Programs

introduces the parallel paradigm, introduces tools of parallel programming through a variety of programming languages, and concludes by detailing;

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Proceedings of International Conference on Scientific and Natural Computing

This book includes high-quality papers presented at International Conference on Scientific and Natural Computing (SNC 2021), organized by;

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Heterogeneous Computing with OpenCL

parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling;

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Advances in Parallel Distributed Processing and Applications

(CSCE'20); Includes the research tracks Parallel and Distributed Processing, Scientific Computing, Modeling, Simulation and Visualization, and;

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Languages and Compilers for Parallel Computing

analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.;

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Languages and Compilers for Parallel Computing

Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019.The 8 revised full papers and 3 revised short papers were carefully;

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