| dc.contributor.author | Kalleberg, Karl Trygve | eng |
| dc.date.accessioned | 2006-07-11T12:28:52Z | |
| dc.date.available | 2006-07-11T12:28:52Z | |
| dc.date.issued | 2003 | eng |
| dc.identifier.isbn | 82-8088-435-1 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1956/1542 | |
| dc.description.abstract | Scalable design of large applications requires domain-specific, high-level abstraction. Classically, there has been a tension between abstraction and good performance. We demonstrate how to overcome this tension by augmenting a numerical library providing domain-specific, high-level abstractions with user-configurable optimizations for matrix operations and differentiation. | en_US |
| dc.format.extent | 563847 bytes | eng |
| dc.format.mimetype | application/pdf | eng |
| dc.language.iso | eng | eng |
| dc.publisher | The University of Bergen | en_US |
| dc.title | User-configurable, high-level transformations with CodeBoost | en_US |
| dc.type | Master thesis | |
| dc.rights.holder | The author | en_US |
| dc.rights.holder | Copyright the author. All rights reserved | en_US |
| dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Teoretisk databehandling, programmeringsspråk og -teori: 421 | nob |
