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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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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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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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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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Designing and Building Parallel Programs
the parallel computing platform, the platform of choice within the commercial world. Parallel computing-once found only in academic/research;
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Computational Technologies
scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the;
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Parallel Processing and Applied Mathematics
parallel scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical;
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Parallel Processing and Applied Mathematics
scientific computing; particle methods in simulations; task-based paradigm of parallel computing; GPU computing; parallel non-numerical algorithms;
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Parallel Computing
This book sets out the principles of parallel computing, explaining why, where, and how parallel computing is used. It is unique in its;
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Parallel Computing
This book sets out the principles of parallel computing, explaining why, where, and how parallel computing is used. It is unique in its;
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Scientific Computing in Chemical Engineering
Scientific Computing in Chemical Engineering gives the state of the art from the point of view of the numerical mathematicians as well as;
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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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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
original scope of scientific computing to diverse areas that are enable or enhanced by the power of parallel systems such as mobile computing, big;
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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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Mastering Python Scientific Computing
of scientific computing to advanced concepts involving parallel and large scale computation are all covered. * Most of the Python APIs and tools used;
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Recent Advances in Scientific Computing and Applications
This volume contains the proceedings of the Eighth International Conference on Scientific Computing and Applications, held April 1-4, 2012;
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Scientific Parallel Computing
global weather patterns, parallel computing enables computations that would otherwise be impractical if not impossible with sequential approaches;
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Parallel Processing and Applied Mathematics
in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance;
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Parallel Programming with Co-arrays
Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific;
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Parallel Processing and Applied Mathematics
in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance;
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Scientific Computing with Scala
parallel collections * Implement and deploy concurrent programs using the Akka framework * Use the Wisp plotting library to produce scientific;
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Introduction to Computational Modeling Using C and Open-Source Tools
foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high;
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Introduction to Computational Modeling Using C and Open-Source Tools
foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high;
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Algorithms and Architectures for Parallel Processing
load balancing, high-performance scientific computing, parallel algorithms, parallel architectures, scalable and distributed databases;
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Lessons in Scientific Computing
Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods;
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