Parallel Programming with OpenACC

Written By Rob Farber
Parallel Programming with OpenACC
  • Publsiher : Newnes
  • Release : 14 October 2016
  • ISBN : 0124104592
  • Pages : 326 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Parallel Programming with OpenACC written by Rob Farber which was release on 14 October 2016, this book published by Newnes. Available in PDF, EPUB and Kindle Format. Book excerpt: Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel® Xeon PhiTM as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs. Presents the simplest way to leverage GPUs to achieve application speedups Shows how OpenACC works, including working examples that can be adapted for application needs Allows readers to download source code and slides from the book's companion web page

Parallel Programming with OpenACC

Parallel Programming with OpenACC
  • Author : Rob Farber
  • Publisher : Newnes
  • Release Date : 2016-10-14
  • Total pages : 326
  • ISBN : 0124104592
GET BOOK

Summary : Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without ...

OpenACC for Programmers

OpenACC for Programmers
  • Author : Sunita Chandrasekaran,Guido Juckeland
  • Publisher : Addison-Wesley Professional
  • Release Date : 2017-09-11
  • Total pages : 320
  • ISBN : 0124104592
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Summary : The Complete Guide to OpenACC for Massively Parallel Programming Scientists and technical professionals can use OpenACC to leverage the immense power of modern GPUs without the complexity traditionally associated with programming them. OpenACC™ for Programmers is one of the first comprehensive and practical overviews of OpenACC for massively parallel programming. ...

OpenACC for Programmers

OpenACC for Programmers
  • Author : Sunita Chandrasekaran. Guido Juckeland
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 212
  • ISBN : 0124104592
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Summary : Download or read online OpenACC for Programmers written by Sunita Chandrasekaran. Guido Juckeland, published by which was released on 2017. Get OpenACC for Programmers Books now! Available in PDF, ePub and Kindle....

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems
  • Author : Pawel Czarnul
  • Publisher : CRC Press
  • Release Date : 2018-03-05
  • Total pages : 304
  • ISBN : 0124104592
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Summary : In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope ...

Euro Par 2013 Parallel Processing Workshops

Euro Par 2013  Parallel Processing Workshops
  • Author : Dieter an Mey,Michael Alexander,Bientinesi Paolo,Mario Cannataro,Carsten Clauss,Alexandru Costan,Gabor Kecskemeti,Christine Morin,Laura Ricci,Julio Sahuquillo,Martin Schulz,Vittorio Scarano,Scott Ostercamp,Josef Weidendorfer
  • Publisher : Springer
  • Release Date : 2014-04-10
  • Total pages : 898
  • ISBN : 0124104592
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Summary : This book constitutes thoroughly refereed post-conference proceedings of the workshops of the 19th International Conference on Parallel Computing, Euro-Par 2013, held in Aachen, Germany in August 2013. The 99 papers presented were carefully reviewed and selected from 145 submissions. The papers include seven workshops that have been co-located with Euro-Par in the previous years: ...

Professional CUDA C Programming

Professional CUDA C Programming
  • Author : John Cheng,Max Grossman,Ty McKercher
  • Publisher : John Wiley & Sons
  • Release Date : 2014-09-09
  • Total pages : 528
  • ISBN : 0124104592
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Summary : Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and ...

Accelerator Benchmark Suite Using OpenACC Directives

Accelerator Benchmark Suite Using OpenACC Directives
  • Author : Pooja Chitral
  • Publisher : Unknown
  • Release Date : 2014
  • Total pages : 212
  • ISBN : 0124104592
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Summary : In recent years, GPU computing has been very popular for scientific applications, especially after the release of programming languages like CUDA, OpenCL, and OpenACC. The growing popularity of GPU computation in commercial and scientific fields is attributed to the high computational power of GPU cores. The accelerator benchmark suite using ...

Hands On GPU Programming with CUDA

Hands On GPU Programming with CUDA
  • Author : Jaegeun Han,Bharatkumar Sharma
  • Publisher : Unknown
  • Release Date : 2019-09-27
  • Total pages : 508
  • ISBN : 0124104592
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Summary : Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Key Features Learn parallel programming principles and practices and performance analysis in GPU computing Get to grips with distributed multi GPU programming and other approaches to GPU programming ...

CUDA Programming

CUDA Programming
  • Author : Shane Cook
  • Publisher : Morgan Kaufmann
  • Release Date : 2017-10-01
  • Total pages : 608
  • ISBN : 0124104592
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Summary : CUDA Programming: A Developer's Guide to Parallel Computing with GPUs, Second Edition is a fully revised, updated, practical guide that provides a solid foundation for developers learning parallel programming with CUDA. This guide iincludes updates that cover both the Kepler and Maxwell GPUs from NVIDIA, as well as the latest ...

Algorithmic Differentiation of Pragma Defined Parallel Regions

Algorithmic Differentiation of Pragma Defined Parallel Regions
  • Author : Michael Förster
  • Publisher : Springer
  • Release Date : 2014-10-09
  • Total pages : 405
  • ISBN : 0124104592
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Summary : Numerical programs often use parallel programming techniques such as OpenMP to compute the program's output values as efficient as possible. In addition, derivative values of these output values with respect to certain input values play a crucial role. To achieve code that computes not only the output values simultaneously but ...

High Performance Sparse Fast Fourier Transform Using OpenACC

High Performance Sparse Fast Fourier Transform Using OpenACC
  • Author : Arnov Sinha
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 72
  • ISBN : 0124104592
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Summary : The Sparse Fast Fourier Transform (sFFT) is a recent algorithm developed by Hassanieh et al. at MIT for Discrete Fourier Transforms on signals with a sparse frequency domain. A reference implementation of the algorithm exists and proves that the sFFT can be faster than modern FFT libraries for signals of ...

Multicore and GPU Programming

Multicore and GPU Programming
  • Author : Gerassimos Barlas
  • Publisher : Morgan Kaufmann
  • Release Date : 2021-12-15
  • Total pages : 736
  • ISBN : 0124104592
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Summary : Multicore and GPU Programming: An Integrated Approach offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, CUDA, and other current tools it teaches the design and development of software capable of taking advantage of today's computing platforms incorporating ...

Parallel Computing On the Road to Exascale

Parallel Computing  On the Road to Exascale
  • Author : G.R. Joubert,H. Leather,M. Parsons
  • Publisher : IOS Press
  • Release Date : 2016-04-28
  • Total pages : 872
  • ISBN : 0124104592
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Summary : As predicted by Gordon E. Moore in 1965, the performance of computer processors increased at an exponential rate. Nevertheless, the increases in computing speeds of single processor machines were eventually curtailed by physical constraints. This led to the development of parallel computing, and whilst progress has been made in this field, ...

Programming Massively Parallel Processors

Programming Massively Parallel Processors
  • Author : David B. Kirk,Wen-mei W. Hwu
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-11-24
  • Total pages : 576
  • ISBN : 0124104592
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Summary : Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. ...

Projects in GPU Computing with Performance and Benchmark Analysis

Projects in GPU Computing with Performance and Benchmark Analysis
  • Author : Mihir Deepak Kavatkar
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 106
  • ISBN : 0124104592
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Summary : The objective of this Master's thesis is to explore the area of parallel and GPU computing. An open parallel programming language, OpenACC, was used to benchmark different intensely computational codes in terms of performance, portability and ease of programming. Two codes in the field of black hole physics namely Teukolsky ...