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Deep Learning and Parallel Computing Environment for Bioengineering Systems

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement;

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

. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Hands-On GPU Computing with Python

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;

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Parallel and Distributed Computing Applications

various computing algorithms required for programming designs. It includes 4 sections, where section 1 and 2 are dedicated towards parallel;

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Artificial Intelligence Algorithms and Applications

submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary;

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Parallel MATLAB for Multicore and Multinode Computers

is an ideal environment for learning about parallel computing, allowing the user to focus on parallel algorithms instead of the details;

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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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Frontiers in Education

Recruitment And Mentoring + Methods for Enhancing Educational Environment + Tools And Case Studies Teaching Methods + Teaching Support Systems and;

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Annual Review Of Scalable Computing, Vol 5

This book contains four review articles in the area of scalable computing. Two of the articles discuss methods and tools for the parallel;

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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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Recent Studies on Computational Intelligence

, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing;

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Tools for High Performance Computing 2018 / 2019

. Powerful user interfaces and an extensive body of documentation together create a user-friendly environment for parallel tools.;

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Parallel Programming for Modern High Performance Computing Systems

. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI;

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Parallel Programming for Modern High Performance Computing Systems

-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are;

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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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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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Bioinformatics and Computational Biology

case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning;

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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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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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14th International Conference on Theory and Application of Fuzzy Systems and Sof

computing, AI tools such as uncertain computation, decision making under imperfect information, deep learning and others. The topics of the papers;

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Parallel Processing and Applied Mathematics

algorithms; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing;

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Parallel Processing and Applied Mathematics

; performance evaluation of parallel algorithms and applications; environments and frameworks for parallel/distributed/cloud computing; applications;

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Applications of Evolutionary Computation

recognition; evolutionary machine learning; parallel and distributed systems; and applications of nature inspired computing for sustainability and;

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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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Topics in Parallel and Distributed Computing

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students;

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