How GPUs Work.
The article discusses the technological advances in graphics processing units (GPU). The author attributes the advances to consumer demand for video games, advances in manufacturing technology, and the exploitation of the inherent parallelism in the feed-forward graphics pipeline. Presently the raw...
| Publicado en: | Computer (00189162) Vol. 40; no. 2; pp. 96 - 101 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
IEEE
Feb2007
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=24104788&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 24104788 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Feb2007 vid: 40 iid: 2 pid: 13605 pub: IEEE artinfo: ui: 24104788 10.1109/MC.2007.59 ppf: 96 ppct: 5 formats: tig: atl: How GPUs Work. aug: au: Luebke, David Humphreys, Greg affil: NVIDIA Research University of Virginia su: High performance processors High performance computing Computer graphics Digital image processing Color computer graphics Computer science Computer programmers Computer programming Computer training Cybernetics sug: subj: High performance processors High performance computing Computer graphics Digital image processing Color computer graphics Computer science Computer programmers Computer programming Computer training Cybernetics ab: The article discusses the technological advances in graphics processing units (GPU). The author attributes the advances to consumer demand for video games, advances in manufacturing technology, and the exploitation of the inherent parallelism in the feed-forward graphics pipeline. Presently the raw computational power of a GPU is comparatively larger than the most powerful central processing unit (CPU). Also, GPUs can implement many parallel algorithms directly using graphics hardware, which the text suggests can often help achieve tremendous speed increases. The operational procedures of GPUs are included in the text. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
|---|