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Parallel Computing for Data Science

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate;

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Parallel Computing for Data Science

Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate;

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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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From Parallel to Emergent Computing

, chemistry, physics and biology. This highly interdisciplinary book presents advances in the fields of parallel, distributed and emergent information;

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From Parallel to Emergent Computing

, chemistry, physics and biology. This highly interdisciplinary book presents advances in the fields of parallel, distributed and emergent information;

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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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Knowledge Discovery in Big Data from Astronomy and Earth Observation

geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly;

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Algorithms and Architectures for Parallel Processing

This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP;

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Languages and Compilers for Parallel Computing

This book constitutes the proceedings of the 30th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2017, held;

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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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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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IPython Interactive Computing and Visualization Cookbook

Learn to use IPython and Jupyter Notebook for your data analysis and visualization work. Key Features Leverage the Jupyter Notebook for;

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Parallel Computing Architectures and APIs

Parallel Computing Architectures and APIs: IoT Big Data Stream Processing commences from the point high-performance uniprocessors were;

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Introduction To Parallel Algorithms

design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment;

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Practical Parallel Computing

These ten papers represent a range of applications for the practical use of parallel computing. They address large scale high performance;

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Algorithms and Architectures for Parallel Processing

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for;

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Algorithms and Architectures for Parallel Processing

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for;

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Algorithms and Architectures for Parallel Processing

The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for;

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Algorithms and Architectures for Parallel Processing

Symposium on Advances of Distributed and Parallel Computing (ADPC 2013), 5 papers of the International Workshop on Big Data Computing (BDC 2013), 10;

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Euro-Par 2019: Parallel Processing: 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, August 26-30, 2019, Proce

manycore parallelism; theory and algorithms for parallel computation and networking; parallel numerical methods and applications; accelerator;

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Algorithms and Architectures for Parallel Processing

and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel;

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Algorithms and Architectures for Parallel Processing

and Programming Models, Distributed and Parallel and Network-based Computing, Big Data and its Applications, Distributed and Parallel;

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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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Julia 1.0 Programming Cookbook

Databases and Parallel data processing with Julia Explore advanced features such as metaprogramming, functional programming, and user defined types;

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Languages and Compilers for Parallel Computing

libraries, performance analysis and debugging tools for concurrency and parallelism, parallel algorithms and concurrent data structures, parallel;

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Applied Parallel and Scientific Computing

interval methods, real-time access and processing of large data sets, linear algebra algorithms and software for multicore and hybrid architectures;

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Languages and Compilers for Parallel Computing

This book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for;

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