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Programming Models for Parallel Computing

2015-11-06 Computers
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Release : 2015-11-06
Genre : Computers
Kind : eBook
Book Rating : 819/5 ( reviews)

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Book Synopsis Programming Models for Parallel Computing by : Pavan Balaji

Download or read book Programming Models for Parallel Computing written by Pavan Balaji. This book was released on 2015-11-06. Available in PDF, EPUB and Kindle. Book excerpt: 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

Structured Parallel Programming

2012-06-25 Computers
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Release : 2012-06-25
Genre : Computers
Kind : eBook
Book Rating : 931/5 ( reviews)

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Book Synopsis Structured Parallel Programming by : Michael McCool

Download or read book Structured Parallel Programming written by Michael McCool. This book was released on 2012-06-25. Available in PDF, EPUB and Kindle. Book excerpt: Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

High-Level Parallel Programming Models and Supportive Environments

2003-05-15 Computers
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Release : 2003-05-15
Genre : Computers
Kind : eBook
Book Rating : 012/5 ( reviews)

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Book Synopsis High-Level Parallel Programming Models and Supportive Environments by : Frank Mueller

Download or read book High-Level Parallel Programming Models and Supportive Environments written by Frank Mueller. This book was released on 2003-05-15. Available in PDF, EPUB and Kindle. Book excerpt: On the 23rd of April, 2001, the 6th Workshop on High-Level Parallel P- gramming Models and Supportive Environments (LCTES’98) was held in San Francisco. HIPShas been held over the past six years in conjunction with IPDPS, the Internation Parallel and Distributed Processing Symposium. The HIPSworkshop focuses on high-level programming of networks of wo- stations, computing clusters and of massively-parallel machines. Its goal is to bring together researchers working in the areas of applications, language design, compilers, system architecture and programming tools to discuss new devel- ments in programming such systems. In recent years, several standards have emerged with an increasing demand of support for parallel and distributed processing. On one end, message-passing frameworks, such as PVM, MPI and VIA, provide support for basic commu- cation. On the other hand, distributed object standards, such as CORBA and DCOM, provide support for handling remote objects in a client-server fashion but also ensure certain guarantees for the quality of services. The key issues for the success of programming parallel and distributed en- ronments are high-level programming concepts and e?ciency. In addition, other quality categories have to be taken into account, such as scalability, security, bandwidth guarantees and fault tolerance, just to name a few. Today’s challenge is to provide high-level programming concepts without s- ri?cing e?ciency. This is only possible by carefully designing for those concepts and by providing supportive programming environments that facilitate program development and tuning.

Programming Models for Parallel Systems

1990-06-28 Computers
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Release : 1990-06-28
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Programming Models for Parallel Systems by : Shirley A. Williams

Download or read book Programming Models for Parallel Systems written by Shirley A. Williams. This book was released on 1990-06-28. Available in PDF, EPUB and Kindle. Book excerpt: Presents parallel processing systems and the programming models that are necessary to accomplish this task. Covers the categories of parallel programming models, including sequential, array, pipeline and shared memory processing, message passing, and functional, logic, and object-oriented programming; examines transformation techniques; and explores the future potential of parallel processing.

Introduction to Parallel Computing

2003 Computers
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Release : 2003
Genre : Computers
Kind : eBook
Book Rating : 652/5 ( reviews)

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Book Synopsis Introduction to Parallel Computing by : Ananth Grama

Download or read book Introduction to Parallel Computing written by Ananth Grama. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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