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Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device;

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Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a;

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Heterogeneous Computing with OpenCL 2.0

Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a;

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OpenCL in Action

"OpenCL in Action" provides a thorough, hands-on presentation of OpenCL, with an eye toward showing developers how to build high;

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High Performance Heterogeneous Computing

An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This;

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Heterogeneous Computing Architectures

Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing;

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High-Performance Computing on Complex Environments

With recent changes in multicore and general-purpose computing on graphics processing units, the way parallel computers are used and;

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Heterogeneous Computing

reason for these different types of heterogeneity is to have good performance with power efficiency. Heterogeneous computing results in both;

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Heterogeneous Computing

reason for these different types of heterogeneity is to have good performance with power efficiency. Heterogeneous computing results in both;

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Algorithms & Tools for Parallel Computing on Heterogeneous Clusters

performance computing on heterogeneous networks of computers.;

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Creativity in Load-Balance Schemes for Multi/Many-Core Heterogeneous Graph Computing

decomposition, accelerated network traversal using multi/many-cores, partitioning of complex networks for heterogeneous computing, topology-aware load;

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Programming Massively Parallel Processors

for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational;

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Multicore and GPU Programming

Barlas minimizes the challenge of transitioning from sequential programming to mastering parallel platforms with multiple examples, extensive;

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Heterogeneous Reconfigurable Processors for Real Time Baseband Processing

This book focuses on domain-specific heterogeneous reconfigurable architectures, demonstrating for readers a computing platform which;

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Parallel Programming for Modern High Performance Computing Systems

, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement;

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Parallel Programming for Modern High Performance Computing Systems

discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can;

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Opencl Programming by Example

This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming. If you are a;

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Data Parallel C++

CPU, GPU, FPGA)Use SYCL and SYCL compilers Connect with computing's heterogeneous future via Intel's oneAPI initiative Who This;

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Computer Systems, Support & Technology

; mobile database computing; learning methods for spam filtering; heterogeneous systems; nested relational database systems; advanced array;

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Languages and Compilers for Parallel Computing

, e.g., scientific computing, batch/ streaming/ real-time data analytics, machine learning, cognitive computing, heterogeneous/ reconfigurable;

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Management of Heterogeneous and Autonomous Database Systems

. In addition, advances in distributed computing and networking combined with the affordable high level of connectivity, are making information sharing;

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Hands-On GPU Computing with Python

containers with illustrated examples Explore PyCUDA and PyOpenCL and compare them with platforms such as CUDA, OpenCL and ROCm. Perform data mining;

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Fog Computing in the Internet of Things

heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies;

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Fog Computing in the Internet of Things

heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies;

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Programming Massively Parallel Processors

development process, which begins with computational thinking and ends with effective and efficient parallel programs. Topics of performance, floating;

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Proceeding of First Doctoral Symposium on Natural Computing Research

engineering. The book focuses on computer vision and applications, soft computing, security for Internet of Things, security in heterogeneous networks;

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Architecture of Computing Systems -- ARCS 2016

architectures and protocols; mapping of applications on heterogeneous architectures and real-time tasks on multiprocessors; all about time: timing;

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