In-Memory Data Rearrangement for Irregular, Data-Intensive Computing.
The data rearrangement engine (DRE) performs in-memory data restructuring to accelerate irregular, data-intensive applications. An emulation on a field-programmable gate array shows how the DRE could improve speedup, memory bandwidth, and energy consumption on three representative benchmarks.
| Publicado en: | Computer (00189162) Vol. 48; no. 8; pp. 18 - 26 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
IEEE
Aug2015
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| 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=108932533&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 108932533 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Aug2015 vid: 48 iid: 8 pid: 13605 pub: IEEE artinfo: ui: 108932533 10.1109/MC.2015.230 ppf: 18 ppct: 8 formats: tig: atl: In-Memory Data Rearrangement for Irregular, Data-Intensive Computing. aug: au: Lloyd, Scott Gokhale, Maya affil: Lawrence Livermore National Laboratory su: Computer storage devices Emulation software Field programmable analog arrays Gate array circuits Computer input-output equipment sug: subj: Computer storage devices Emulation software Field programmable analog arrays Gate array circuits Computer input-output equipment keyword: 3D stacked memory active memory Computer applications data rearrangement engine data-intensive computing Emulation Field programmable gate arrays FPGA emulation irregular applications Memory management processing in memory Stacked memory ab: The data rearrangement engine (DRE) performs in-memory data restructuring to accelerate irregular, data-intensive applications. An emulation on a field-programmable gate array shows how the DRE could improve speedup, memory bandwidth, and energy consumption on three representative benchmarks. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
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