Domain Specialization Is Generally Unnecessary for Accelerators.
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| Title: | Domain Specialization Is Generally Unnecessary for Accelerators. |
|---|---|
| Authors: | Nowatzki, Tony1, Gangadhar, Vinay2, Sankaralingam, Karthikeyan2, Wright, Greg3 |
| Source: | IEEE Micro. May/Jun2017, Vol. 37 Issue 3, p40-50. 11p. |
| Subjects: | Linear accelerators, Domain-specific programming languages, Computer programming, Computer architecture, Software architecture |
| Abstract: | Domain-specific accelerators (DSAs), which sacrifice programmability for efficiency, are a reaction to the waning benefits of device scaling. This article demonstrates that there are commonalities between DSAs that can be exploited with programmable mechanisms. The goals are to create a programmable architecture that can match the benefits of a DSA and to create a platform for future accelerator investigations. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Micro is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 123685313 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Domain Specialization Is Generally Unnecessary for Accelerators. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nowatzki%2C+Tony%22">Nowatzki, Tony</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Gangadhar%2C+Vinay%22">Gangadhar, Vinay</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sankaralingam%2C+Karthikeyan%22">Sankaralingam, Karthikeyan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wright%2C+Greg%22">Wright, Greg</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Micro%22">IEEE Micro</searchLink>. May/Jun2017, Vol. 37 Issue 3, p40-50. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Linear+accelerators%22">Linear accelerators</searchLink><br /><searchLink fieldCode="DE" term="%22Domain-specific+programming+languages%22">Domain-specific programming languages</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Domain-specific accelerators (DSAs), which sacrifice programmability for efficiency, are a reaction to the waning benefits of device scaling. This article demonstrates that there are commonalities between DSAs that can be exploited with programmable mechanisms. The goals are to create a programmable architecture that can match the benefits of a DSA and to create a platform for future accelerator investigations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Micro is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/MM.2017.60 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 40 Subjects: – SubjectFull: Linear accelerators Type: general – SubjectFull: Domain-specific programming languages Type: general – SubjectFull: Computer programming Type: general – SubjectFull: Computer architecture Type: general – SubjectFull: Software architecture Type: general Titles: – TitleFull: Domain Specialization Is Generally Unnecessary for Accelerators. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nowatzki, Tony – PersonEntity: Name: NameFull: Gangadhar, Vinay – PersonEntity: Name: NameFull: Sankaralingam, Karthikeyan – PersonEntity: Name: NameFull: Wright, Greg IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 02721732 Numbering: – Type: volume Value: 37 – Type: issue Value: 3 Titles: – TitleFull: IEEE Micro Type: main |
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