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Gpu Parallel Program Development by Soyata Tolga (30 results)
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Condition: As New. Unread book in perfect condition.
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US$ 73.41
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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
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Add to basketPaperback. Condition: 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.
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US$ 79.69
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Add to basketPaperback. Condition: Brand New. 476 pages. 10.00x7.01x1.10 inches. In Stock.
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Gpu Parallel Program Development Using Cuda
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GPU Parallel Program Development Using CUDA
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 74.16
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Add to basketCondition: 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.
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GPU Parallel Program Development Using CUDA
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Condition: 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.
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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Condition: Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: New. pp. 476.
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US$ 91.00
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Gpu Parallel Program Development Using Cuda
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GPU Parallel Program Development Using CUDA
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367572249 ISBN 13: 9780367572242
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 82.46
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 881.
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GPU Parallel Program Development Using CUDA
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Condition: As New. Unread book in perfect condition.
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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Published by Chapman and Hall/CRC 2016-10-06, 2016
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
US$ 93.37
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GPU Parallel Program Development Using CUDA
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 96.82
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GPU Parallel Program Development Using CUDA
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Condition: New.
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GPU Parallel Program Development Using CUDA (Hardcover)
Published by Taylor & Francis Inc, Portland, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Hardcover. Condition: 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.
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GPU PARALLEL PROGRAM DEVELOPMENT USING CUDA
Published by Taylor & Francis Group, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
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Add to basketCondition: New.
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GPU Parallel Program Development Using CUDA
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 105.52
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Add to basketCondition: As New. Unread book in perfect condition.
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US$ 90.45
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Add to basketTaschenbuch. Condition: 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.
-
GPU Parallel Program Development Using CUDA
Published by Taylor & Francis Inc, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 107.64
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 1078.
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Add to basketHardcover. Condition: Brand New. 440 pages. 10.00x7.00x1.25 inches. In Stock.
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GPU PARALLEL PROGRAM DEVELOPMENT USING CUDA
Published by Taylor & Francis Group, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
Condition: New.
-
GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
hardcover. Condition: Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Tracking.
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GPU PARALLEL PROGRAM DEVELOPMENT USING CUDA
Published by Taylor & Francis Group, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
US$ 139.16
Convert currencyUS$ 11.35 shipping from Germany to U.S.A.Quantity: 3 available
Add to basketCondition: New.
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US$ 108.82
Convert currencyUS$ 55.88 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketGebunden. Condition: 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.
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GPU Parallel Program Development Using CUDA
Published by Taylor & Francis Feb 2018, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
US$ 135.47
Convert currencyUS$ 37.68 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware.
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GPU Parallel Program Development Using CUDA (Hardcover)
Published by Taylor & Francis Inc, Portland, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Language: English
US$ 169.09
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: 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.
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US$ 66.76
Convert currencyUS$ 55.88 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 th.
