Programming Models for Parallel Computing

Jazyk: 
english
Väzba: 
Mäkká
Počet strán: 
488
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 ...Celý popis
61,96 €

Podrobné informácie

Viac informácií
ISBN9780262528818
VydavatelMIT Press Ltd
Jazykenglish
VäzbaPaperback / softback
Rok vydania2015
Počet strán488

Popis knihy

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

Prečo nakupovať na Enbooku?

  1. velký výběr

    VEĽKÝ VÝBER

    Ponúkame milióny kníh v angličtine. Od beletrie až po tie najodbornejšie odborné.

  2. poštovné zdarma

    POŠTOVNÉ ZADARMO

    Poštovné už od 2,99 € a pri objednávke nad 60 € doprava na pobočku Zásielkovne zadarmo

  3. skvělé ceny

    SKVELÉ CENY

    Ceny kníh sa snažíme držať pri zemi a vždy pod cenou odporúčanou vydavateľom, aby si ich mohol kúpiť naozaj každý.

  4. online podpora

    OVERENÉ ZÁKAZNÍKMI

    Získali sme certifikát "Overené zákazníkmi" na Heureka.sk. Prezrite si naše recenzie

  5. osobní přístup

    ONLINE PODPORA

    Môžete využiť online chat, email alebo nám zatelefonovať.