Programming Models For Massively Parallel Computers
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Proceedings 1995
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Author : Wolfgang Giloi
language : en
Publisher: IEEE Computer Society
Release Date : 1995
Proceedings 1995 written by Wolfgang Giloi and has been published by IEEE Computer Society this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
The conference was called to address the difficulty of programming distributed memory machines, which is inhibiting the spread of scalable parallel computers; the goal is high-level, application-oriented programming models that assign to the compiler the burdensome, low-level mechanisms of parallel
Programming Massively Parallel Processors
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Author : David B. Kirk
language : en
Publisher: Newnes
Release Date : 2012-12-31
Programming Massively Parallel Processors written by David B. Kirk and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-31 with Computers categories.
Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Programming Models For Massively Parallel Computers
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Author :
language : en
Publisher:
Release Date : 1998
Programming Models For Massively Parallel Computers written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Parallel computers categories.
Programming Models For Massively Parallel Computers 1993
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Author : Wolfgang Giloi
language : en
Publisher:
Release Date : 1993
Programming Models For Massively Parallel Computers 1993 written by Wolfgang Giloi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
Proceedings -- Parallel Computing.
Programming Models For Parallel Computing
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Author : Pavan Balaji
language : en
Publisher: MIT Press
Release Date : 2015-11-06
Programming Models For Parallel Computing written by Pavan Balaji and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Computers categories.
An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
Proceedings 1995
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Author : Wolfgang Giloi
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1995
Proceedings 1995 written by Wolfgang Giloi and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
The conference was called to address the difficulty of programming distributed memory machines, which is inhibiting the spread of scalable parallel computers; the goal is high-level, application-oriented programming models that assign to the compiler the burdensome, low-level mechanisms of parallel
Programming Models For Massively Parallel Computers
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Author :
language : un
Publisher:
Release Date : 1993
Programming Models For Massively Parallel Computers written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Proceedings 1995
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Author : Wolfgang Giloi
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1995
Proceedings 1995 written by Wolfgang Giloi and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
The conference was called to address the difficulty of programming distributed memory machines, which is inhibiting the spread of scalable parallel computers; the goal is high-level, application-oriented programming models that assign to the compiler the burdensome, low-level mechanisms of parallel
Massively Parallel Processing Applications And Development
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Author : L. Dekker
language : en
Publisher: Elsevier
Release Date : 2013-10-22
Massively Parallel Processing Applications And Development written by L. Dekker and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Computers categories.
The contributions of a diverse selection of international hardware and software specialists are assimilated in this book's exploration of the development of massively parallel processing (MPP). The emphasis is placed on industrial applications and collaboration with users and suppliers from within the industrial community consolidates the scope of the publication. From a practical point of view, massively parallel data processing is a vital step to further innovation in all areas where large amounts of data must be processed in parallel or in a distributed manner, e.g. fluid dynamics, meteorology, seismics, molecular engineering, image processing, parallel data base processing. MPP technology can make the speed of computation higher and substantially reduce the computational costs. However, to achieve these features, the MPP software has to be developed further to create user-friendly programming systems and to become transparent for present-day computer software. Application of novel electro-optic components and devices is continuing and will be a key for much more general and powerful architectures. Vanishing of communication hardware limitations will result in the elimination of programming bottlenecks in parallel data processing. Standardization of the functional characteristics of a programming model of massively parallel computers will become established. Then efficient programming environments can be developed. The result will be a widespread use of massively parallel processing systems in many areas of application.
Introduction To Parallel Computing
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Author : Ananth Grama
language : en
Publisher: Pearson Education
Release Date : 2003
Introduction To Parallel Computing written by Ananth Grama and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.