EUR 66,17
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 476.
EUR 61,31
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
EUR 71,86
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierPaperback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
EUR 69,84
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 476 pages. 10.00x7.01x1.10 inches. In Stock.
EUR 72,26
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 881.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 64,38
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 77,46
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 476.
EUR 71,72
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : New.
EUR 76,98
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware - This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 72,24
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : New.
EUR 84,06
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. pp. 476.
Edité par Chapman and Hall/CRC 2016-10-06, 2016
ISBN 10 : 1498750753 ISBN 13 : 9781498750752
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 81,82
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierHardcover. Etat : New.
EUR 81,22
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 84,84
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : New.
EUR 92,62
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierGebunden. Etat : New. Tolga Soyata is an associate professor in the Electrical and Computer Engineering department of SUNY Albany.GPU Parallel Program Development using CUDA teaches GPU programming by showing the diffe.
EUR 94,32
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 1078.
EUR 98,74
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
EUR 92,33
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 92,46
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
EUR 83,61
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
EUR 104,33
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 440 pages. 10.00x7.00x1.25 inches. In Stock.
EUR 99,95
Autre deviseQuantité disponible : 10 disponible(s)
Ajouter au panierEtat : New.
EUR 115,75
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
Edité par Taylor & Francis Feb 2018, 2018
ISBN 10 : 1498750753 ISBN 13 : 9781498750752
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 115,30
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. Neuware.
EUR 118,45
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 117,65
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Vendeur : SGS Trading Inc, Franklin Lakes, NJ, Etats-Unis
EUR 117,78
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierhardcover. Etat : Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking.
Vendeur : SGS Trading Inc, Franklin Lakes, NJ, Etats-Unis
EUR 119,33
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierhardcover. Etat : New. New Textbook, Ships with Tracking.
Edité par Taylor & Francis Inc, Portland, 2018
ISBN 10 : 1498750753 ISBN 13 : 9781498750752
Langue: anglais
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
EUR 102,34
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent explanations that are as valuable as generalized GPU concepts. The book consists of three separate parts; it starts by explaining parallelism using CPU multi-threading in Part I. A few simple programs are used to demonstrate the concept of dividing a large task into multiple parallel sub-tasks and mapping them to CPU threads. Multiple ways of parallelizing the same task are analyzed and their pros/cons are studied in terms of both core and memory operation.Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same performance analysis is repeated. Because the core and memory structures of CPUs and GPUs are different, the results differ in interesting ways. The end goal is to make programmers aware of all the good ideas, as well as the bad ideas, so readers can apply the good ideas and avoid the bad ideas in their own programs.Part III of the book provides pointer for readers who want to expand their horizons. It provides a brief introduction to popular CUDA libraries (such as cuBLAS, cuFFT, NPP, and Thrust),the OpenCL programming language, an overview of GPU programming using other programming languages and API libraries (such as Python, OpenCV, OpenGL, and Apples Swift and Metal,) and the deep learning library cuDNN. This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Taylor & Francis Inc, Portland, 2018
ISBN 10 : 1498750753 ISBN 13 : 9781498750752
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 148,39
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. GPU Parallel Program Development using CUDA teaches GPU programming by showing the differences among different families of GPUs. This approach prepares the reader for the next generation and future generations of GPUs. The book emphasizes concepts that will remain relevant for a long time, rather than concepts that are platform-specific. At the same time, the book also provides platform-dependent explanations that are as valuable as generalized GPU concepts. The book consists of three separate parts; it starts by explaining parallelism using CPU multi-threading in Part I. A few simple programs are used to demonstrate the concept of dividing a large task into multiple parallel sub-tasks and mapping them to CPU threads. Multiple ways of parallelizing the same task are analyzed and their pros/cons are studied in terms of both core and memory operation.Part II of the book introduces GPU massive parallelism. The same programs are parallelized on multiple Nvidia GPU platforms and the same performance analysis is repeated. Because the core and memory structures of CPUs and GPUs are different, the results differ in interesting ways. The end goal is to make programmers aware of all the good ideas, as well as the bad ideas, so readers can apply the good ideas and avoid the bad ideas in their own programs.Part III of the book provides pointer for readers who want to expand their horizons. It provides a brief introduction to popular CUDA libraries (such as cuBLAS, cuFFT, NPP, and Thrust),the OpenCL programming language, an overview of GPU programming using other programming languages and API libraries (such as Python, OpenCV, OpenGL, and Apples Swift and Metal,) and the deep learning library cuDNN. This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.