GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)
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GPU Computing Gems Emerald Edition
EN NW EB DLISBN: 9780123849892 bzw. 0123849896, in Englisch, Elsevier Science, Elsevier Science, Elsevier Science, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Practical techniques straight from the leading minds in general purpose GPU research.".the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk."-Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for many computationally-intense applications - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Different application domains often pose similar algorithm problems, and researchers from diverse application domains often develop similar algorithmic strategies. GPU Computing Gems offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann's Applications of GPU Computing Series, offering the latest insights and research in computer vision, electronic design automation, emerging data-intensive applications, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and image processing. Features A snapshot of the state of GPU computing in ten critical domains, edited by Wen-mei W. Hwu with experts from NVIDIA.
Practical techniques straight from the leading minds in general purpose GPU research.".the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk."-Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for many computationally-intense applications - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Different application domains often pose similar algorithm problems, and researchers from diverse application domains often develop similar algorithmic strategies. GPU Computing Gems offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann's Applications of GPU Computing Series, offering the latest insights and research in computer vision, electronic design automation, emerging data-intensive applications, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and image processing. Features A snapshot of the state of GPU computing in ten critical domains, edited by Wen-mei W. Hwu with experts from NVIDIA.
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GPU Computing Gems Emerald Edition
EN NW EBISBN: 9780123849892 bzw. 0123849896, in Englisch, Morgan Kaufmann, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
3
GPU Computing Gems Emerald Edition
EN NW EB DLISBN: 9780123849892 bzw. 0123849896, in Englisch, Elsevier Reference Monographs, neu, E-Book, elektronischer Download.
Lieferung aus: Deutschland, E-Book zum Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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GPU Computing Gems Emerald Edition
EN NW EB DLISBN: 9780123849892 bzw. 0123849896, in Englisch, Elsevier Science, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Despatched same working day before 3pm.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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