Understanding Throughput-Oriented Architectures.
The article examines the development of throughput-oriented microprocessor architectures. This development comes in tandem with the transition of microprocessors from single-core to multicore chips, a trend that is most evident in central processing unit (CPU) processor families. This technology ach...
| Published in: | Communications of the ACM Vol. 53; no. 11; pp. 58 - 67 |
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| Main Authors: | , |
| Format: | Article |
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Association for Computing Machinery
Nov2010
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=55063015&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 55063015 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Nov2010 vid: 53 iid: 11 pid: 68 pub: Association for Computing Machinery artinfo: ui: 55063015 10.1145/1839676.1839694 ppf: 58 ppct: 9 formats: tig: atl: Understanding Throughput-Oriented Architectures. aug: au: GARLAND, MICHAEL KIRK, DAVID B. affil: Senior research scientist, NVIDIA Research, Santa Clara, CA. su: Microprocessor design & construction Computer architecture Parallel computers Molecular dynamics Simultaneous multithreading processors Computational mathematics sug: subj: Microprocessor design & construction Computer architecture Parallel computers Molecular dynamics Simultaneous multithreading processors Computational mathematics ab: The article examines the development of throughput-oriented microprocessor architectures. This development comes in tandem with the transition of microprocessors from single-core to multicore chips, a trend that is most evident in central processing unit (CPU) processor families. This technology achieves a higher level of performance by exploiting modestly parallel workloads. The author examines numerous aspects of microprocessor evolution, including core computations used in molecular dynamics, hardware multithreading, and underlying computation mathematics. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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