Predicting parallel application performance via machine learning approaches.
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| Title: | Predicting parallel application performance via machine learning approaches. |
|---|---|
| Authors: | Singh, Karan1, İpek, Engin1, McKee, Sally A.1, de Supinski, Bronis R.2, Schulz, Martin2, Caruana, Rich3 |
| Source: | Concurrency & Computation: Practice & Experience; Dec2007, Vol. 19 Issue 17, p2219-2235, 17p, 1 Diagram, 5 Charts, 5 Graphs |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 27082415 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=aci&AN=27082415 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/cpe.1171 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2219 Titles: – TitleFull: Predicting parallel application performance via machine learning approaches. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singh, Karan – PersonEntity: Name: NameFull: İpek, Engin – PersonEntity: Name: NameFull: McKee, Sally A. – PersonEntity: Name: NameFull: de Supinski, Bronis R. – PersonEntity: Name: NameFull: Schulz, Martin – PersonEntity: Name: NameFull: Caruana, Rich IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 12 Text: Dec2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 15320626 Numbering: – Type: volume Value: 19 – Type: issue Value: 17 Titles: – TitleFull: Concurrency & Computation: Practice & Experience Type: main |
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