Programming Languages For Parallel Processing
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Programming Languages For Parallel Processing
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Author : David B. Skillicorn
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1995
Programming Languages For Parallel Processing written by David B. Skillicorn 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.
Mathematics of Computing -- Parallelism.
Is Parallel Programming Hard
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Author : Paul E. McKenney
language : en
Publisher:
Release Date : 2015-06-13
Is Parallel Programming Hard written by Paul E. McKenney and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-13 with categories.
Introduction To High Performance Scientific Computing
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Author : Victor Eijkhout
language : en
Publisher: Lulu.com
Release Date : 2010
Introduction To High Performance Scientific Computing written by Victor Eijkhout and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
This is a textbook that teaches the bridging topics between numerical analysis, parallel computing, code performance, large scale applications.
Languages And Compilers For Parallel Computing
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Author : Keshav Pingali
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-01-26
Languages And Compilers For Parallel Computing written by Keshav Pingali and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-26 with Computers categories.
This volume presents revised versions of the 32 papers accepted for the Seventh Annual Workshop on Languages and Compilers for Parallel Computing, held in Ithaca, NY in August 1994. The 32 papers presented report on the leading research activities in languages and compilers for parallel computing and thus reflect the state of the art in the field. The volume is organized in sections on fine-grain parallelism, align- ment and distribution, postlinear loop transformation, parallel structures, program analysis, computer communication, automatic parallelization, languages for parallelism, scheduling and program optimization, and program evaluation.
Parallel Computing For Real Time Signal Processing And Control
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Author : M. Osman Tokhi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Parallel Computing For Real Time Signal Processing And Control written by M. Osman Tokhi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Although the computing demands of real-time signal processing and control applications are increasing rapidly, parallel processors permit several instructions to be dealt with simultaneously so that the "real-time" needed is manageable. This book introduces the advantages of this strategy and details how to use parallel processing to deal with common signal processing and control algorithms. It emphasises the relationship between the computing requirements of algorithms and the appropriate choice of architectures, while demonstrating how to identify processor capabilities and how to exploit them to the fullest. The text includes examples and end-of-chapter exercises to facilitate self- and group study and case studies to put theoretical concepts into a practical context. For advanced students in parallel computing, control and signal processing disciplines, it is an invaluable tool in learning to get the most from their computer systems.
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
Algorithms And Architectures For Parallel Processing Proceedings Of The 1997 3rd International Conference
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Author : Andrzej Marian Goscinski
language : en
Publisher: World Scientific
Release Date : 1997-11-15
Algorithms And Architectures For Parallel Processing Proceedings Of The 1997 3rd International Conference written by Andrzej Marian Goscinski and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-11-15 with categories.
The IEEE Third International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP-97) will be held in Melbourne, Australia from December 8th to 12th, 1997. The purpose of this important conference is to bring together developers and researchers from universities, industry and government to advance science and technology in distributed and parallel systems and processing.
Introduction To Concurrency In Programming Languages
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Author : Matthew J. Sottile
language : en
Publisher: CRC Press
Release Date : 2009-09-28
Introduction To Concurrency In Programming Languages written by Matthew J. Sottile and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-28 with Computers categories.
Illustrating the effect of concurrency on programs written in familiar languages, this text focuses on novel language abstractions that truly bring concurrency into the language and aid analysis and compilation tools in generating efficient, correct programs. It also explains the complexity involved in taking advantage of concurrency with regard to program correctness and performance. The book describes the historical development of current programming languages and the common threads that exist among them. It also contains several chapters on design patterns for parallel programming and includes quick reference guides to OpenMP, Erlang, and Cilk. Ancillary materials are available on the book's website.
Languages And Compilers For Parallel Computing
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Author : Utpal Banerjee
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-12-08
Languages And Compilers For Parallel Computing written by Utpal Banerjee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-12-08 with Computers categories.
The articles in this volume are revised versions of the best papers presented at the Fifth Workshop on Languages and Compilers for Parallel Computing, held at Yale University, August 1992. The previous workshops in this series were held in Santa Clara (1991), Irvine (1990), Urbana (1989), and Ithaca (1988). As in previous years, a reasonable cross-section of some of the best work in the field is presented. The volume contains 35 papers, mostly by authors working in the U.S. or Canada but also by authors from Austria, Denmark, Israel, Italy, Japan and the U.K.
Parallel And Concurrent Programming In Haskell
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Author : Simon Marlow
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2013-07-12
Parallel And Concurrent Programming In Haskell written by Simon Marlow and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-12 with Computers categories.
If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network