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| Titolo: |
GPU computing gems [[electronic resource] /] / editor, Wen-mei W. Hwu
|
| Pubblicazione: | Burlington, Mass., : Elsevier, c2011 |
| Edizione: | Emerald ed. |
| Descrizione fisica: | 1 online resource (889 p.) |
| Disciplina: | 006.6 |
| Soggetto topico: | Graphics processing units - Programming |
| Imaging systems | |
| Computer graphics | |
| Image processing - Digital techniques | |
| Soggetto genere / forma: | Electronic books. |
| Altri autori: |
HwuWen-mei
|
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | ""...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 |
| Titolo autorizzato: | GPU computing gems ![]() |
| ISBN: | 1-282-97672-9 |
| 9786612976728 | |
| 0-12-384989-6 | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910458197903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |