Sub-word handling in data-parallel mapping
| dc.contributor.author | Psychou, Georgia | |
| dc.contributor.author | Fasthuber, Robert | |
| dc.contributor.author | Hulzink, Jos | |
| dc.contributor.author | Huisken, Jos | |
| dc.contributor.author | Catthoor, Francky | |
| dc.contributor.editor | Mühl, Gero | |
| dc.contributor.editor | Richling, Jan | |
| dc.contributor.editor | Herkersdorf, Andreas | |
| dc.date.accessioned | 2019-10-30T12:50:19Z | |
| dc.date.available | 2019-10-30T12:50:19Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | Data-parallel processing is a widely applicable technique, which can be implemented on different processor styles, with varying capabilities. Here we address single or multi-core data-parallel instruction-set processors. Often, handling and reorganisation of the parallel data may be needed because of diverse needs during the execution of the application code. Signal word-length considerations are crucial to incorporate because they influence the outcome very strongly. This paper focuses on the broader solution space of selecting sub-word lengths (at design time) including especially hybrids, so that mapping on these data parallel single/multi-core processors is more energy-efficient. Our goal is to introduce systematic exploration techniques so that part of the designers effort is removed. The methodology is evaluated on a representative application driver for a number of data-path variants and the most promising trade-off points are indicated. The range of throughput-energy ratios among the different mapping implementations is spanning a factor of 2.2. | en |
| dc.identifier.isbn | 978-3-88579-294-9 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/29511 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | ARCS 2012 Workshops | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-200 | |
| dc.title | Sub-word handling in data-parallel mapping | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 420 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 409 | |
| gi.conference.date | 28. Februar-2. März 2012 | |
| gi.conference.location | München | |
| gi.conference.sessiontitle | Regular Research Papers |
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