Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/50505
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Santana, Oliverio J. | en_US |
dc.contributor.author | Ramirez, Alex | en_US |
dc.contributor.author | Larriba-Pey, Josep L. | en_US |
dc.contributor.author | Valero, Mateo | en_US |
dc.date.accessioned | 2018-11-24T16:33:34Z | - |
dc.date.available | 2018-11-24T16:33:34Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.issn | 1544-3566 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/50505 | - |
dc.description.abstract | Fetch engine performance is a key topic in superscalar processors, since it limits the instruction-level parallelism that can be exploited by the execution core. In the search of high performance, the fetch engine has evolved toward more efficient designs, but its complexity has also increased.In this paper, we present the stream fetch engine, a novel architecture based on the execution of long streams of sequential instructions, taking maximum advantage of code layout optimizations. We describe our design in detail, showing that it achieves high fetch performance, while requiring less complexity than other state-of-the-art fetch architectures. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Transactions on Architecture and Code Optimization | en_US |
dc.source | ACM Transactions on Architecture and Code Optimization [ISSN 1544-3566], v. 1 (2), p. 220-245 | en_US |
dc.subject | 330406 Arquitectura de ordenadores | en_US |
dc.subject.other | Branch prediction | en_US |
dc.subject.other | Design | en_US |
dc.subject.other | Fetch architecture | en_US |
dc.subject.other | High performance | en_US |
dc.subject.other | Instruction stream | en_US |
dc.subject.other | Low complexity | en_US |
dc.subject.other | Performance | en_US |
dc.title | A low-complexity fetch architecture for high-performance superscalar processors | en_US |
dc.type | info:eu-repo/semantics/article | es |
dc.type | Article | es |
dc.identifier.doi | 10.1145/1011528.1011532 | en_US |
dc.identifier.scopus | 33646373633 | - |
dc.contributor.authorscopusid | 7003605046 | - |
dc.contributor.authorscopusid | 55837529000 | - |
dc.contributor.authorscopusid | 6603588897 | - |
dc.contributor.authorscopusid | 24475914200 | - |
dc.identifier.eissn | 1544-3973 | - |
dc.description.lastpage | 245 | - |
dc.identifier.issue | 2 | - |
dc.description.firstpage | 220 | - |
dc.relation.volume | 1 | - |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Artículo | en_US |
dc.identifier.ulpgc | Sí | es |
dc.description.scie | SCIE | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0001-7511-5783 | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Santana Jaria, Oliverio Jesús | - |
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