Parallel Programming for Modern High Performance Computing Systems
Czarnul, Pawel
ISBN 10: 1138305952 ISBN 13: 9781138305953
Published by Chapman and Hall/CRC, 2018
New
Hardcover
From
GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
AbeBooks Seller since April 6, 2009
This specific item is no longer available.
About this Item
Description:
Seller Inventory # 30024488-n
Synopsis:
In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems.
It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms.
It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer.
The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment.
The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs.
Features:
- Discusses the popular and currently available computing devices and cluster systems
- Includes typical paradigms used in parallel programs
- Explores popular APIs for programming parallel applications
- Provides code templates that can be used for implementation of paradigms
- Provides hybrid code examples allowing multi-level parallelization
- Covers the optimization of parallel programs
About the Author: Pawel Czanul
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Parallel Programming for Modern High ...
Publisher: Chapman and Hall/CRC
Publication Date: 2018
Binding: Hardcover
Condition: New
Top Search Results from the AbeBooks Marketplace
Stock Image
Parallel Programming for Modern High Performance Computing Systems
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 0.95. Seller Inventory # G1138305952I2N00
Quantity: 1 available
Stock Image
PARALLEL PROGRAMMING FOR MODERN HIGH PERFORMANCE COMPUTING SYSTEMS
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26375624225
Quantity: 1 available
Stock Image
PARALLEL PROGRAMMING FOR MODERN HIGH PERFORMANCE COMPUTING SYSTEMS
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 370421246
Quantity: 1 available
Stock Image
Parallel Programming for Modern High Performance Computing Systems (Hardcover)
Published by
Taylor & Francis Ltd, London, 2018
ISBN 10: 1138305952
ISBN 13: 9781138305953
New
Hardcover
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms.It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer.The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment.The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs.Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs This book describes the state-of-the-art computing devices and systems available, including multi-core CPUs, accelerators, such as GPUs, coprocessors, and clusters. It introduces approaches to parallelization using important programming paradigms, and covers the useful elements of the most popular APIs for programming parallel HPC systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781138305953
Quantity: 1 available
Stock Image
Parallel Programming for Modern High Performance Computing Systems
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 671. Seller Inventory # B9781138305953
Quantity: 1 available
Seller Image
Czarnul, P: Parallel Programming for Modern High Performance
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Pawel CzanulIn view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key. Seller Inventory # 595392120
Quantity: Over 20 available
Stock Image
Parallel Programming for Modern High Performance Computing Systems
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 303 pages. 9.50x6.50x0.75 inches. In Stock. Seller Inventory # __1138305952
Quantity: 1 available
Stock Image
PARALLEL PROGRAMMING FOR MODERN HIGH PERFORMANCE COMPUTING SYSTEMS
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 18375624235
Quantity: 3 available
Seller Image
Parallel Programming for Modern High Performance Computing Systems
Published by
Taylor & Francis Ltd Feb 2018, 2018
ISBN 10: 1138305952
ISBN 13: 9781138305953
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware. Seller Inventory # 9781138305953
Quantity: 2 available
Stock Image
Parallel Programming for Modern High Performance Computing Systems (Hardcover)
Published by
Taylor & Francis Ltd, London, 2018
ISBN 10: 1138305952
ISBN 13: 9781138305953
New
Hardcover
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms.It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer.The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment.The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs.Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs This book describes the state-of-the-art computing devices and systems available, including multi-core CPUs, accelerators, such as GPUs, coprocessors, and clusters. It introduces approaches to parallelization using important programming paradigms, and covers the useful elements of the most popular APIs for programming parallel HPC systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781138305953
Quantity: 1 available