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gpu parallel program development di soyata tolga (29 risultati)
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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Textbooks_Source, Columbia, MO, U.S.A.
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hardcover. Condizione: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Condizione: Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Gpu Parallel Program Development Using Cuda
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Majestic Books, Hounslow, Regno Unito
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EUR 65,53
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 476.
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Gpu Parallel Program Development Using Cuda
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Books Puddle, New York, NY, U.S.A.
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Gpu Parallel Program Development Using Cuda
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 66,05
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Gpu Parallel Program Development Using Cuda
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 69,18
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Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 75,03
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 77,63
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Spedito da Germania a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 476.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 69,19
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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GPU PARALLEL PROGRAM DEVELOPMENT USING CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Majestic Books, Hounslow, Regno Unito
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EUR 101,53
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 94,97
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Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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Gpu Parallel Program Development Using Cuda
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Revaluation Books, Exeter, Regno Unito
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EUR 99,11
Spedizione EUR 14,45
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 476 pages. 10.00x7.01x1.10 inches. In Stock.
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Gpu Parallel Program Development Using Cuda
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 107,31
Spedizione EUR 14,45
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 440 pages. 10.00x7.00x1.25 inches. In Stock.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 105,25
Spedizione EUR 17,34
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
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GPU PARALLEL PROGRAM DEVELOPMENT USING CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceEUR 58,10
Spedizione EUR 70,00
Spedito da Germania a U.S.A.Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. GPU Parallel Program Development Using CUDA | Tolga Soyata | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Chapman and Hall/CRC | EAN 9780367572242 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 112,56
Spedizione EUR 24,90
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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GPU PARALLEL PROGRAM DEVELOPMENT USING CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: Biblios, Frankfurt am main, HESSE, Germania
Valutazione del venditore 4 su 5 stelle
EUR 124,66
Spedizione EUR 9,95
Spedito da Germania a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
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Soyata, T: GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceEUR 94,71
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloGebunden. Condizione: 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
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 76,22
Spedizione EUR 6,79
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceLingua: Inglese
Editore: Chapman And Hall/CRC Jun 2020, 2020
ISBN 10: 0367572249 ISBN 13: 9780367572242
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 59,60
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Apple's Swift and Metal,) and the deep learning library cuDNN. 478 pp. Englisch.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceEUR 56,83
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: 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.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceLingua: Inglese
Editore: Taylor & Francis, Chapman And Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 89,40
Spedizione EUR 23,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 Apple's Swift and Metal,) and the deep learning library cuDNN. 476 pp. Englisch.
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GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceEUR 69,33
Spedizione EUR 64,46
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Apple's Swift and Metal,) and the deep learning library cuDNN.
-
GPU Parallel Program Development Using CUDA
Libro 25 di 27: Chapman & Hall/CRC Computational ScienceLingua: Inglese
Editore: Taylor & Francis, Chapman And Hall/CRC, 2018
ISBN 10: 1498750753 ISBN 13: 9781498750752
EUR 103,11
Spedizione EUR 65,00
Spedito da Germania a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Apple's Swift and Metal,) and the deep learning library cuDNN.
