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Electronic data processing --- Electronic digital computers --- Automatic Data Processing --- Documentation --- Information Systems --- Linguistics --- Periodicals --- Parallel programming (Computer science) --- Parallel processing (Electronic computers) --- Programmation parallèle (Informatique) --- Parallélisme (Informatique) --- Computer programming

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Programming --- Parallel programming (Computer science) --- Programmation parallèle (Informatique) --- 681.3*D1 --- Computer programming --- Parallel processing (Electronic computers) --- Programming techniques--See also {681.3*E} --- 681.3*D1 Programming techniques--See also {681.3*E} --- Programmation parallèle (Informatique) --- Concurrent Programming --- Distributed Algorithms --- Distributed

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Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Parallel programming (Computer science) --- OpenCL (Computer program language) --- Programmation parallèle (Informatique) --- OpenCL (Langage de programmation) --- Heterogeneous computing. --- OpenCL (Computer program language). --- Parallel programming (Computer science). --- Programmation parallèle (Informatique) --- Open CL (Computer program language) --- Open Computing Language (Computer program language) --- Programming languages (Electronic computers) --- Computer programming --- Parallel processing (Electronic computers)

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Java (Computer program language). --- Parallel programming (Computer science). --- Programmation parallèle (Informatique) --- Programmation parallèle (Informatique) --- Programming --- programmeren (informatica) --- Java (informatica) --- object oriented --- Java (Computer program language) --- Parallel programming (Computer science) --- Computer programming --- Parallel processing (Electronic computers) --- Object-oriented programming languages --- JavaSpaces technology --- Java (Langage de programmation)

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Computer. Automation --- Parallel processing (Electronic computers) --- Parallel programming (Computer science) --- Parallélisme (Informatique) --- Programmation parallèle (Informatique) --- Periodicals --- Périodiques --- Programmation parallèle (Informatique) --- Parallélisme (Informatique) --- #TS:TCPW --- 681.3 --- Computer science --- Information Technology --- Computer Architecture, Languages and Compilers --- General and Others --- Information Science and Systems --- Software Engineering --- Algorithms --- Mathematical Sciences --- Applied Mathematics --- Information Technology. --- Algorithms. --- Mathematical Sciences. --- Périodiques --- EBSCOASP-E EJINFOR EPUB-ALPHA-I EPUB-PER-FT SPRINGER-E --- 681.3* / / / / / / / / / / / / / / / / / / / / / / / / / / / /