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https://hdl.handle.net/20.500.11851/5703
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ünsal, O. S. | - |
dc.contributor.author | Ergin, Oğuz | - |
dc.contributor.author | vera, X. | - |
dc.contributor.author | González, A. | - |
dc.date.accessioned | 2021-09-11T15:19:41Z | - |
dc.date.available | 2021-09-11T15:19:41Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006, 25 April 2006 through 29 April 2006, , 114989 | en_US |
dc.identifier.isbn | 1424400546; 9781424400546 | - |
dc.identifier.uri | https://doi.org/10.1109/IPDPS.2006.1639350 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/5703 | - |
dc.description.abstract | Narrow values that can be represented by less number of bits than the full machine width occur very frequently in programs. On the other hand, clustering mechanisms enable cost- and performance-effective scaling of processor back-end features. Those attributes can be combined synergistically to design special clusters operating on narrow values (a.k.a. Helper Cluster), potentially providing performance benefits. We complement a 32-bit monolithic processor with a low-complexity 8-bit Helper Cluster. Then, in our main focus, we propose various ideas to select suitable instructions to execute in the data-width based clusters. We add data-width information as another instruction steering decision metric and introduce new data-width based selection algorithms which also consider dependency, inter-cluster communication and load imbalance. Utilizing those techniques, the performance of a wide range of workloads are substantially increased; Helper Cluster achieves an average speedup of 11% for a wide range of 412 apps. When focusing on integer applications, the speedup can be as high as 22% on average. © 2006 IEEE. | en_US |
dc.description.sponsorship | IEEE Computer Society | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE Computer Society | en_US |
dc.relation.ispartof | 20th International Parallel and Distributed Processing Symposium, IPDPS 2006 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.title | Empowering a Helper Cluster Through Data-Width Aware Instruction Selection Policies | en_US |
dc.type | Conference Object | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.volume | 2006 | en_US |
dc.identifier.scopus | 2-s2.0-33847218985 | en_US |
dc.institutionauthor | Ergin, Oğuz | - |
dc.identifier.doi | 10.1109/IPDPS.2006.1639350 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2006 | en_US |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.3. Department of Computer Engineering | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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