9781617296468 - parallel and high performance computing di robey, robert; zamora, yuliana (9 risultati)
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Da: Greenway, Chattanooga, TN, U.S.A.Greenway
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 40,37
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
paperback. Condizione: Good condition. some wear on cover,clean inside,fast ship.
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Da: Shakespeare Book House, Rockford, IL, U.S.A.Shakespeare Book House
Contatta il venditoreVenditore con 4 stelleCondizione: Usato - Buono
EUR 40,82
EUR 3,44 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: good. Used book that is clean, average condition without any missing pages.
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Da: MERS Goodwill, Saint Louis, MO, U.S.A.MERS Goodwill
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Discreto
EUR 44,34
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Pages may include limited notes and highlighting, but the text cannot be obscured or unreada…ble. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured.
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Da: INDOO, Avenel, NJ, U.S.A.INDOO
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 53,52
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread copy in mint condition.
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Da: INDOO, Avenel, NJ, U.S.A.INDOO
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 53,61
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Brand New.
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 66,31
Spedizione gratuitaSpedito in U.S.A.Quantità: 10 disponibili
Paperback. Condizione: New. Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours-or even days-of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scal…ability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. about the technologyModern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications. about the book Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you're done, you'll be able to build parallel programs that are reliable, robust, and require minimal code maintenance. This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages. what's inside Steps for planning a new parallel projectChoosing the right data structures and algorithmsAddressing underperforming kernels and loopsThe differences in CPU and GPU architecture about the readerFor experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran. about the authors Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has le.
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Da: Studibuch, Stuttgart, GermaniaStudibuch
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
EUR 40,91
EUR 62,30 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
paperback. Condizione: Sehr gut. 704 Seiten; 9781617296468.2 Gewicht in Gramm: 2.
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 105,32
EUR 17,35 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 667 pages. 9.00x7.25x1.25 inches. In Stock.
Altre immagini- Brossura
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 108,25
EUR 43,07 spedizioneSpedito in U.S.A.Quantità: 10 disponibili
Paperback. Condizione: New. Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours-or even days-of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scal…ability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. about the technologyModern computing hardware comes equipped with multicore CPUs and GPUs that can process numerous instruction sets simultaneously. Parallel computing takes advantage of this now-standard computer architecture to execute multiple operations at the same time, offering the potential for applications that run faster, are more energy efficient, and can be scaled to tackle problems that demand large computational capabilities. But to get these benefits, you must change the way you design and write software. Taking advantage of the tools, algorithms, and design patterns created specifically for parallel processing is essential to creating top performing applications. about the book Parallel and High Performance Computing is an irreplaceable guide for anyone who needs to maximize application performance and reduce execution time. Parallel computing experts Robert Robey and Yuliana Zamora take a fundamental approach to parallel programming, providing novice practitioners the skills needed to tackle any high-performance computing project with modern CPU and GPU hardware. Get under the hood of parallel computing architecture and learn to evaluate hardware performance, scale up your resources to tackle larger problem sizes, and deliver a level of energy efficiency that makes high performance possible on hand-held devices. When you're done, you'll be able to build parallel programs that are reliable, robust, and require minimal code maintenance. This book is unique in its breadth, with discussions of parallel algorithms, techniques to successfully develop parallel programs, and wide coverage of the most effective languages for the CPU and GPU. The programming paradigms include MPI, OpenMP threading, and vectorization for the CPU. For the GPU, the book covers OpenMP and OpenACC directive-based approaches and the native-based CUDA and OpenCL languages. what's inside Steps for planning a new parallel projectChoosing the right data structures and algorithmsAddressing underperforming kernels and loopsThe differences in CPU and GPU architecture about the readerFor experienced programmers with proficiency in a high performance computing language such as C, C++, or Fortran. about the authors Robert Robey has been active in the field of parallel computing for over 30 years. He works at Los Alamos National Laboratory, and has previously worked at the University of New Mexico, where he started up the Albuquerque High Performance Computing Center. Yuliana Zamora has le.
