Data-driven analysis to understand GPU hardware resource usage of optimizations.
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| Title: | Data-driven analysis to understand GPU hardware resource usage of optimizations. |
|---|---|
| Authors: | Islam, Tanzima Z.1 (AUTHOR) tanzima@txstate.edu, Schutte, Holland2 (AUTHOR), Zaeed, Mohammad1 (AUTHOR), Marathe, Aniruddha3 (AUTHOR) |
| Source: | International Journal of High Performance Computing Applications. May2026, Vol. 40 Issue 3, p404-420. 17p. |
| Database: | Business Source Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 193487894 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=193487894 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/10943420251404998 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 404 Titles: – TitleFull: Data-driven analysis to understand GPU hardware resource usage of optimizations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Islam, Tanzima Z. – PersonEntity: Name: NameFull: Schutte, Holland – PersonEntity: Name: NameFull: Zaeed, Mohammad – PersonEntity: Name: NameFull: Marathe, Aniruddha IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10943420 Numbering: – Type: volume Value: 40 – Type: issue Value: 3 Titles: – TitleFull: International Journal of High Performance Computing Applications Type: main |
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