Thuerck, Daniel ; Naumov, Maxim ; Pfetsch, Marc E. ; Goesele, Michael (2017)
Finding Parallelism in General-Purpose Linear Programming.
GTC 2017. San José, CA, USA (08.05.2017-11.05.2017)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Get to know two different techniques in retrieving parallelism hidden in a general purpose linear programs (LPs) that are broadly used in operations research, computer vision, and machine learning. With conventional solvers often being restricted to serial computation, we'll show two ways of retrieving inherent parallelism, using: (1) parallel sparse linear algebra techniques with an interior-point method, and (2) a higher-level automatic LP decomposition. After a quick introduction to the topic, we'll present details and results for a diverse range of applications on the GPU.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2017 |
| Autor(en): | Thuerck, Daniel ; Naumov, Maxim ; Pfetsch, Marc E. ; Goesele, Michael |
| Art des Eintrags: | Bibliographie |
| Titel: | Finding Parallelism in General-Purpose Linear Programming |
| Sprache: | Englisch |
| Publikationsjahr: | 10 Mai 2017 |
| Ort: | San José, CA, USA |
| Veranstaltungstitel: | GTC 2017 |
| Veranstaltungsort: | San José, CA, USA |
| Veranstaltungsdatum: | 08.05.2017-11.05.2017 |
| Kurzbeschreibung (Abstract): | Get to know two different techniques in retrieving parallelism hidden in a general purpose linear programs (LPs) that are broadly used in operations research, computer vision, and machine learning. With conventional solvers often being restricted to serial computation, we'll show two ways of retrieving inherent parallelism, using: (1) parallel sparse linear algebra techniques with an interior-point method, and (2) a higher-level automatic LP decomposition. After a quick introduction to the topic, we'll present details and results for a diverse range of applications on the GPU. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphics, Capture and Massively Parallel Computing Exzellenzinitiative Exzellenzinitiative > Graduiertenschulen Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE) |
| Hinterlegungsdatum: | 15 Mai 2017 08:38 |
| Letzte Änderung: | 30 Aug 2024 08:21 |
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