Programming Models for Parallel Computing (Scientific and Engineering Computation) - Image 1

£47.76

MIT Press Programming Models for Parallel Computing (Scientific and Engineering Computation)

Name: Programming Models for Parallel Computing (Scientific and Engineering Computation)
Brand: MIT Press
Price: 47.76 GBP
Availability: InStock

90 b&w illus.

Information Systems

Price History & Forecast

Last 27 days • 27 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 27 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £48 (18 days, 66.7%)

Price range: £47 - £48

Price levels: 2 different prices over 27 days

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

Product Specifications

Brand: MIT Press
Model: 90 b&w illus.
Format: Paperback
ASIN: 0262528819
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 04 January 2016
Listed Since: 19 October 2015

Barcode

No barcode data available

MIT Press Programming Models for Parallel Computing (Scientific and Engineering Computation)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems

The Art of High Performance Computing for Computational Science, Vol. 1: Techniques of Speedup and Parallelization for General Purposes

Scientific Parallel Computing

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

Parallel Programming: for Multicore and Cluster Systems

Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications (Wiley Series on Parallel and Distributed Computing)

High-Performance Computing: Paradigm and Infrastructure: 44 (Wiley Series on Parallel and Distributed Computing)

Introduction to High Performance Scientific Computing (Software, Environments, and Tools)

Programming for Hybrid Multi/Manycore MPP Systems (Chapman & Hall/CRC Computational Science)

Parallel Processing for Scientific Computing: 20 (Software, Environments and Tools, Series Number 20)

Recent Progress in Computational Sciences and Engineering (2 vols): VOLUME 7 (Lecture Series on Computer and Computational Sciences)

Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)

Concepts, Techniques and Models of Computer Programming (OIP) (The MIT Press)

Parallelism in Matrix Computations (Scientific Computation)

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

Wiley Parallel and Distributed Computing - Survey of Models

On the Design and Analysis of Practical Parallel Algorithms for Combinatorial Problems with Applications to Image Processing: Ph.D. Dissertation

Using OpenMP-The Next Step: Affinity, Accelerators, Tasking, and SIMD (Scientific and Engineering Computation)

Using MPI, third edition: Portable Parallel Programming with the Message-Passing Interface (Scientific and Engineering Computation)

Using Advanced MPI: Modern Features of the Message-Passing Interface (Scientific and Engineering Computation)

Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)

Parallel and High Performance Computing

Fundamentals of Parallel Multicore Architecture (Chapman & Hall/CRC Computational Science)