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Record Nr. |
UNINA9910458197903321 |
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Titolo |
GPU computing gems [[electronic resource] /] / editor, Wen-mei W. Hwu |
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Pubbl/distr/stampa |
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Burlington, Mass., : Elsevier, c2011 |
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ISBN |
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1-282-97672-9 |
9786612976728 |
0-12-384989-6 |
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Edizione |
[Emerald ed.] |
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Descrizione fisica |
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1 online resource (889 p.) |
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Collana |
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Morgan Kaufmann's applications of GPU computing series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Graphics processing units - Programming |
Imaging systems |
Computer graphics |
Image processing - Digital techniques |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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section 1. Scientific simulation -- section 2. Life sciences -- section 3. Statistical modeling -- section 4. Emerging data-intensive applications -- section 5. Electric design automation -- section 6. Ray tracing and rendering -- section 7. Computer vision -- section 8. Video and image processing -- section 9. Signal and audio processing -- section 10. Medical imaging. |
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Sommario/riassunto |
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""...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) can do much more than render graphics. Scientists and researchers increasingly look to GPUs to improve the efficiency and performance of computationally-intensive experiments across a range of disciplines. GPU Computing Gems: Emerald Edition brings their techniques to you, showcasing GPU-based solutions including: Black hole simulations with CUDA |
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