Details

Autor(en) / Beteiligte

• Hwu, Wen-mei W[Herausgeber]

Titel

GPU computing gems [Elektronische Ressource]

Ist Teil von

• Applications of GPU computing

Auflage

Emerald ed

Ort / Verlag

Amsterdam [u.a.] : Elsevier, Morgan Kaufmann

Erscheinungsjahr

2011

Link zum Volltext

• Volltext
• Volltext

Verknüpfte Titel

Beschreibungen/Notizen

• -- Scientific Simulation -- Life Sciences -- Statistical Modeling -- Emerging Data-Intensive Applications -- Electronic Design Automation -- Ray Tracing and Rendering -- Computer Vision -- Video and Image Processing -- Signal and Audio Processing -- Medical Imaging
• Includes bibliographical references and index
• " ... the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk."--Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010 Graphics 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.