Articles liés à Parallel and High Performance Computing
Synopsis
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 scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware.
about the technology
Modern 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 project
- Choosing the right data structures and algorithms
- Addressing underperforming kernels and loops
- The differences in CPU and GPU architecture
about the reader
For 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 lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos des auteurs
Robert Robey works at Los Alamos National Laboratory and has been active in the field of parallel computing for over 30 years.
Yuliana Zamora has lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 53,27
Gratuit expédition vers Etats-Unis
Destinations, frais et délaisRésultats de recherche pour Parallel and High Performance Computing
Image d'archives
Parallel and High Performance Computing
Edité par
Manning (edition ), 2021
ISBN 10 : 1617296465
ISBN 13 : 9781617296468
Ancien ou d'occasion
Paperback
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de réf. du vendeur 1617296465-8-1
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel and High Performance Computing
Vendeur : Roundabout Books, Greenfield, MA, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
paperback. Etat : Very Good. Condition Notes: Clean, unmarked copy with some edge wear. Good binding. Dust jacket included if issued with one. We ship in recyclable American-made mailers. 100% money-back guarantee on all orders. N° de réf. du vendeur 1715436
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel and High Performance Computing
Vendeur : Greenway, Chattanooga, TN, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
paperback. Etat : Good condition. some wear on cover,clean inside,fast ship. N° de réf. du vendeur 205841
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel and High Performance Computing
Vendeur : Greenway, Chattanooga, TN, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
paperback. Etat : Good condition. some wear on cover,clean inside,fast ship. N° de réf. du vendeur 210494
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel and High Performance Computing
Edité par
Manning Publications Co. LLC, 2021
ISBN 10 : 1617296465
ISBN 13 : 9781617296468
Ancien ou d'occasion
Couverture souple
Vendeur : TextbookRush, Grandview Heights, OH, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. N° de réf. du vendeur 55144433
Quantité disponible : 1 disponible(s)
Image d'archives
Parallel and High Performance Computing Format: Paperback
Edité par
Simon and Schuster, 2021
ISBN 10 : 1617296465
ISBN 13 : 9781617296468
Ancien ou d'occasion
Couverture souple
Vendeur : INDOO, Avenel, NJ, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread copy in mint condition. N° de réf. du vendeur SS9781617296468
Quantité disponible : Plus de 20 disponibles
Image d'archives
Parallel and High Performance Computing Format: Paperback
Edité par
Simon and Schuster, 2021
ISBN 10 : 1617296465
ISBN 13 : 9781617296468
Neuf
Couverture souple
Vendeur : INDOO, Avenel, NJ, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Brand New. N° de réf. du vendeur 9781617296468
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Parallel and High Performance Computing
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 42619480-n
Quantité disponible : 15 disponible(s)
Image fournie par le vendeur
Parallel and High Performance Computing
Edité par
Manning Publications, US, 2021
ISBN 10 : 1617296465
ISBN 13 : 9781617296468
Neuf
Paperback
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : 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 scalability, 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. N° de réf. du vendeur LU-9781617296468
Quantité disponible : 10 disponible(s)
Image d'archives
Parallel and High Performance Computing (Paperback)
Edité par
Manning Publications, New York, 2021
ISBN 10 : 1617296465
ISBN 13 : 9781617296468
Neuf
Paperback
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hoursor even daysof computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, 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 youre done, youll 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 lectured on efficient programming of modern hardware at national conferences, based on her work developing applications running on tens of thousands of processing cores and the latest GPU architectures. "For experienced programmers proficient with a high-performance computing language like C, C++, or Fortran"--Page 4 of cover. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781617296468
Quantité disponible : 1 disponible(s)