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Programming Models for Parallel Computing

coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high;

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Structured Parallel Programming

Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming;

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Parallel and Distributed Computing

-level, and abstract models; and much more. Parallel and Distributed Computing is a perfect tool for students and can be used as a foundation;

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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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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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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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Parallel Computing Technologies

This book constitutes the proceedings of the 13th International Conference on Parallel Computing Technologies, PaCT 2015, held;

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Algorithms & Tools for Parallel Computing on Heterogeneous Clusters

This book features chapters which explore algorithms, programming languages, systems, tools and theo;...

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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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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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Elements of Parallel Computing

Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel;

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Elements of Parallel Computing

Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel;

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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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Coarrays

Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific;

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Parallel Programming

for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming;

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Introduction To Parallel Programming

in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments;

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Recent Progress in Computational Sciences and Engineering (2 vols)

Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel;

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Algorithms and Architectures for Parallel Processing

The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for;

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Algorithms and Architectures for Parallel Processing

The two-volume set LNCS 11944-11945 constitutes the proceedings of the 19th International Conference on Algorithms and Architectures for;

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Languages and Compilers for Parallel Computing

for Parallel Computing, LCPC 2015, held in Raleigh, NC, USA, in September 2015. The 19 revised full papers were carefully reviewed and;

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Programming Environments for Massively Parallel Distributed Systems

Massively parallel systems, with their scalable computation and storage space promises, are becoming increasingly important for high;

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Parallel Programming for Modern High Performance Computing Systems

performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses;

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Parallel Programming for Modern High Performance Computing Systems

performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first;

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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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Professional CUDA C Programming

Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across;

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Introduction to Computational Models with Python

techniques for designing and implementing problem solutions, independent of software and hardware tools Programming principles with the Python;

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