EUR 22,04
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In den WarenkorbPaperback. Zustand: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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In den Warenkorbpaperback. Zustand: Very Good.
EUR 39,47
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In den WarenkorbZustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 46,46
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In den WarenkorbZustand: New. In.
EUR 53,20
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In den WarenkorbZustand: New. John Cheng, PHD, is a Research Scientist at BGP International in Houston. He has developed seismic imaging products with GPU technology and many high-performance parallel production applications on heterogeneous computing platforms.Max Grossman is an expert.
EUR 60,09
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Break into the powerful world of parallel GPU programming with this down-to-earth, practical guideDesigned for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the 'hard' and 'soft' aspects of GPU programming.Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including:\* CUDA Programming Model\* GPU Execution Model\* GPU Memory model\* Streams, Event and Concurrency\* Multi-GPU Programming\* CUDA Domain-Specific Libraries\* Profiling and Performance TuningThe book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
EUR 64,77
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 528 pages. 9.00x7.00x1.50 inches. In Stock.