Entering a Parallel Universe.
The article discusses the multicore processors that help extend Moore's Law, which states that chip transistor density will double every two years, but may conflict with Amdahl's law, which puts a limit on the benefit of converting code from sequential to parallel. Numerous calculations are performe...
| Publicado en: | Communications of the ACM Vol. 52; no. 9; pp. 15 - 18 |
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| Autores principales: | , |
| Formato: | Artículo |
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Association for Computing Machinery
Sep2009
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| 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=44181642&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 44181642 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Sep2009 vid: 52 iid: 9 pid: 68 pub: Association for Computing Machinery artinfo: ui: 44181642 10.1145/1562164.1562171 ppf: 15 ppct: 3 formats: tig: atl: Entering a Parallel Universe. aug: au: Goth, Gregory Patterson,, David A. affil: University of California, Berkeley. su: Parallel programming Microprocessors Computer programming Sequential processing (Computer science) Moore's law Forecasting technological innovation sug: subj: Parallel programming Microprocessors Computer programming Sequential processing (Computer science) Moore's law Forecasting technological innovation ab: The article discusses the multicore processors that help extend Moore's Law, which states that chip transistor density will double every two years, but may conflict with Amdahl's law, which puts a limit on the benefit of converting code from sequential to parallel. Numerous calculations are performed simultaneously in parallel programming. This operates on the principle that large problems can be divided into smaller ones, which can then be solved at the same time. What to parallelize, the incremental integration of parallel programming, and reconciling the computations of applications with the move to parallel-capable multicore processors are discussed. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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