Programming Models for Parallel Computing

Programming Models for Parallel Computing
Author :
Publisher : MIT Press
Total Pages : 488
Release :
ISBN-10 : 9780262528818
ISBN-13 : 0262528819
Rating : 4/5 (18 Downloads)

Book Synopsis Programming Models for Parallel Computing by : Pavan Balaji

Download or read book Programming Models for Parallel Computing written by Pavan Balaji and published by MIT Press. This book was released on 2015-11-06 with total page 488 pages. 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


Programming Models for Parallel Computing Related Books

Programming Models for Parallel Computing
Language: en
Pages: 488
Authors: Pavan Balaji
Categories: Computers
Type: BOOK - Published: 2015-11-06 - Publisher: MIT Press

DOWNLOAD EBOOK

An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel compu
Vector Models for Data-parallel Computing
Language: en
Pages: 288
Authors: Guy E. Blelloch
Categories: Computers
Type: BOOK - Published: 1990 - Publisher: MIT Press (MA)

DOWNLOAD EBOOK

Mathematics of Computing -- Parallelism.
Data Parallel C++
Language: en
Pages: 548
Authors: James Reinders
Categories: Computers
Type: BOOK - Published: 2020-11-19 - Publisher: Apress

DOWNLOAD EBOOK

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important
Structured Parallel Programming
Language: en
Pages: 434
Authors: Michael McCool
Categories: Computers
Type: BOOK - Published: 2012-06-25 - Publisher: Elsevier

DOWNLOAD EBOOK

Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured prog
Programming Massively Parallel Processors
Language: en
Pages: 519
Authors: David B. Kirk
Categories: Computers
Type: BOOK - Published: 2012-12-31 - Publisher: Newnes

DOWNLOAD EBOOK

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detai