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Author: John W. Cummings
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 306
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Book Description
"This paper provides a comparative analysis of the two parallel programming models: the shared-memory model and distributed-memory model. The project focused on the claims by some researchers that distributed programming model programs outperform shared programming model programs on shared-memory machines. The matrix multiply algorithm was chosen and parallel versions for the shared-memory and distributed-memory model were implemented using the C and P4 programming languages. Experiments were conducted using the Sequent, Encore and Butterfly shared-memory MIMD parallel processing machines located at Argonne National Laboratory. Timing data was plotted comparing each model for multiple runs using from one to twenty processors. The results of the experiments show that the shared programming model significantly outperformed the distributed programming model on all three machines"--Author's abstract.
Author: John W. Cummings
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 306
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Book Description
"This paper provides a comparative analysis of the two parallel programming models: the shared-memory model and distributed-memory model. The project focused on the claims by some researchers that distributed programming model programs outperform shared programming model programs on shared-memory machines. The matrix multiply algorithm was chosen and parallel versions for the shared-memory and distributed-memory model were implemented using the C and P4 programming languages. Experiments were conducted using the Sequent, Encore and Butterfly shared-memory MIMD parallel processing machines located at Argonne National Laboratory. Timing data was plotted comparing each model for multiple runs using from one to twenty processors. The results of the experiments show that the shared programming model significantly outperformed the distributed programming model on all three machines"--Author's abstract.
Author: J.T. Feo
Publisher: Elsevier
ISBN: 148329420X
Category : Computers
Languages : en
Pages : 397
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Book Description
As execution speeds reach the physical limits of single cpu computers, the only hope of achieving greater computing power is with parallel systems. Researchers have proposed countless new programming languages, but their differences, similarities, strengths, weaknesses and problem domains are subtle and often not well understood. Informed comparison of parallel languages is difficult.This volume compares eight parallel programming languages based on solutions to four problems. Each chapter includes a description of the language's philosophy, semantics and syntax, and a solution to each problem. By considering solutions rather than language features or theoretical properties, the gap is bridged between the language specialists and users. Both professionals and students in the fields of computer and computational science will find the discussions helpful and understandable.
Author: Alice E. Koniges
Publisher: Elsevier
ISBN: 0080495389
Category : Computers
Languages : en
Pages : 659
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Book Description
Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of reknown expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques. The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging. Next comes a series of seventeen detailed case studies—all dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline. * Provides in-depth case studies of seventeen parallel computing applications, some built from scratch, others developed through parallelizing existing applications.* Explains elements critical to all parallel programming environments, including:** Terminology and architectures** Programming models and methods** Performance analysis and debugging tools* Teaches primarily by example, showing how scientists in many fields have solved daunting problems using parallel computing.* Covers a wide range of application areas—biology, aerospace, semiconductor design, environmental modeling, data imaging and analysis, fluid dynamics, and more.* Summarizes the state of the art while looking to the future of parallel computing.Presents technical animations and visualizations from many of the applications detailed in the case studies via a companion web site.
Author: Pavan Balaji
Publisher: MIT Press
ISBN: 0262528819
Category : Computers
Languages : en
Pages : 488
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Book Description
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
Author: Guy E. Blelloch
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 288
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Book Description
Mathematics of Computing -- Parallelism.
Author: HE. Bal
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Jesper Larsson Träff
Publisher: Springer
ISBN: 3662480964
Category : Computers
Languages : en
Pages : 717
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Book Description
This book constitutes the refereed proceedings of the 21st International Conference on Parallel and Distributed Computing, Euro-Par 2015, held in Vienna, Austria, in August 2015. The 51 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: support tools and environments; performance modeling, prediction and evaluation; scheduling and load balancing; architecture and compilers; parallel and distributed data management; grid, cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multi- and many-core programming; theory and algorithms for parallel computation; numerical methods and applications; and accelerator computing.
Author: F. Xhafa
Publisher: IOS Press
ISBN: 1607504286
Category : Computers
Languages : en
Pages : 364
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Book Description
The demand for more computing power has been a constant trend in many fields of science, engineering and business. Now more than ever, the need for more and more processing power is emerging in the resolution of complex problems from life sciences, financial services, drug discovery, weather forecasting, massive data processing for e-science, e-commerce and e-government etc. Grid and P2P paradigms are based on the premise to deliver greater computing power at less cost, thus enabling the solution of such complex problems. Parallel Programming, Models and Applications in Grid and P2P Systems presents recent advances for grid and P2P paradigms, middleware, programming models, communication libraries, as well as their application to the resolution of real-life problems. By approaching grid and P2P paradigms in an integrated and comprehensive way, we believe that this book will serve as a reference for researchers and developers of the grid and P2P computing communities. Important features of the book include an up-to-date survey of grid and P2P programming models, middleware and communication libraries, new approaches for modeling and performance analysis in grid and P2P systems, novel grid and P2P middleware as well as grid and P2P-enabled applications for real-life problems. Academics, scientists, software developers and engineers interested in the grid and P2P paradigms will find the comprehensive coverage of this book useful for their academic, research and development activity.
Author: Alan G. Emmel
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 262
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Book Description
"This paper investigates the use of parallel programming languages and models for finding Minimum Spanning Trees (MST's). Both the shared memory and distributed memory models were implemented using the P4 programming language tools developed at Argonne National Laboratory. The three main algorithmic approaches (by Prim, Kruskal and Sollin) for finding MST's were implemented and tested. Performance analysis of the algorithms and of the programming models is presented."--Author's abstract.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 702
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Book Description
