Parallel computing (Plus de 4 700 résultats)

Paperback. Etat : Fair. Explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems. Using examples from open-source and commercial vendors, this text describes cloud-based systems for research, e-commerce, social networking and more.…

Hardcover. Etat : Good. Pages slightly tannedCovers scuffed with slight moisture marks on inside of cover. Text is clean and tight. Good Reading Copy. NOT A FORMER LIBRARY BOOK.

Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Etat : Good. CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago.   The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you?ll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms.   Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPU-based or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it.   Coverage includes Preparing your computer to run CUDA programsUnderstanding CUDA?s parallelism model and C extensionsTransferring data between CPU and GPUManaging timing, profiling, error handling, and debuggingCreating 2D gridsInteroperating with OpenGL to provide real-time user interactivityPerforming basic simulations with differential equationsUsing stencils to manage related computations across threadsExploiting CUDA?s shared memory capability to enhance performanceInteracting with 3D data: slicing, volume rendering, and ray castingUsing CUDA librariesFinding more CUDA resources and code   Realistic example applications include Visualizing functions in 2D and 3DSolving differential equations while changing initial or boundary conditionsViewing/processing images or image stacksComputing inner products and centroidsSolving systems of linear algebraic equationsMonte-Carlo computations.…

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Hardcover. Etat : Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Etat : acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Etat : Good. hardcover 100% of proceeds go to charity! Good condition with all pages in tact. Item shows signs of use and may have cosmetic defects.

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.

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.

Etat : Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Etat : Very Good. Sorry, No international shipping on this item.Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.

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Etat : Good. 1 Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Etat : Good. CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago.   The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you?ll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms.   Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPU-based or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it.   Coverage includes Preparing your computer to run CUDA programsUnderstanding CUDA?s parallelism model and C extensionsTransferring data between CPU and GPUManaging timing, profiling, error handling, and debuggingCreating 2D gridsInteroperating with OpenGL to provide real-time user interactivityPerforming basic simulations with differential equationsUsing stencils to manage related computations across threadsExploiting CUDA?s shared memory capability to enhance performanceInteracting with 3D data: slicing, volume rendering, and ray castingUsing CUDA librariesFinding more CUDA resources and code   Realistic example applications include Visualizing functions in 2D and 3DSolving differential equations while changing initial or boundary conditionsViewing/processing images or image stacksComputing inner products and centroidsSolving systems of linear algebraic equationsMonte-Carlo computations.…