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Network and Parallel Computing

This book constitutes the proceedings of the 14th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2017, held;

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Algorithms and Architectures for Parallel Processing

cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing;

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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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Network and Parallel Computing

This book constitutes the proceedings of the 13th IFIP WG 10.3International Conference on Network and Parallel Computing, NPC 2016,held;

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From Parallel to Emergent Computing

of interconnection networks, internet of things, morphogenetic collective systems, swarm intelligence and cellular automata, unconventionality in parallel;

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From Parallel to Emergent Computing

of interconnection networks, internet of things, morphogenetic collective systems, swarm intelligence and cellular automata, unconventionality in parallel;

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MINs PERFORMANCE FOR PARALLEL PROCESSING

connectivity and performance at minimum cost is required for communication in parallel processing systems. Multistage interconnection networks provide;

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Algorithms and Architectures for Parallel Processing

205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based;

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Algorithms and Architectures for Parallel Processing

205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based;

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Algorithms and Architectures for Parallel Processing

205 workshop papers). The first volume comprises the following topics: parallel and distributed architectures; distributed and network-based;

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Green, Pervasive, and Cloud Computing

are organized in the following topical sections: network security, and privacy-preserving; pervasive sensing and analysis; cloud computing;

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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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Concurrent & Parallel Computing

, several processors in close proximity, or distributed across a network. Concurrent computing is related to parallel computing, but focuses more on;

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Large Scale Network-Centric Distributed Systems

A highly accessible reference offering a broad range of topics and insights on large scale network-centric distributed systems Evolving;

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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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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 Processing And Applied Mathematics

; applications of parallel/distributed computing; applied mathematics, neural networks and evolutionary computing; history of computing.;

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Parallel Processing and Applied Mathematics

; applications of parallel/distributed computing; applied mathematics, neural networks and evolutionary computing; history of computing.;

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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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Large scale data processing in Hadoop MapReduce scenario

network, Google initiated MapReduce model. This model is an implementation of Parallel Computing, which aims at processing large amount of data;

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Parallel Computing Technologies

papers are organized in topical sections on mainstream parallel computing, parallel models and algorithms in numerical computation, cellular;

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High Performance Computing

computing leading to exascale on the one hand and moderately parallel applications, which have opened up high-perf;

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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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