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A complexity-effective simultaneous multithreading architecture
dc.contributor.author | Acosta Ojeda, Carmelo Alexis |
dc.contributor.author | Falcón Samper, Ayose Jesús |
dc.contributor.author | Ramírez Bellido, Alejandro |
dc.contributor.author | Valero Cortés, Mateo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2017-12-20T10:25:26Z |
dc.date.available | 2017-12-20T10:25:26Z |
dc.date.issued | 2005 |
dc.identifier.citation | Acosta, C. A., Falcón, A., Ramírez, A., Valero, M. A complexity-effective simultaneous multithreading architecture. A: International Conference on Parallel Processing. "2005 International Conference on Parallel Processing: 14-17 June 2005, Oslo, Norway: proceedings". Oslo: Institute of Electrical and Electronics Engineers (IEEE), 2005, p. 157-164. |
dc.identifier.isbn | 0-7695-2380-3 |
dc.identifier.uri | http://hdl.handle.net/2117/112312 |
dc.description.abstract | Different applications may exhibit radically different behaviors and thus have very different requirements in terms of hardware support. In simultaneous multithreading (SMT) architectures, the hardware is shared among multiple running applications in order to better profit from it. However, current architectures are designed for the common case, and try to satisfy a number of different application classes with a single design. That is, current designs are usually overdesigned for most cases, obtaining high performance, but wasting a lot of resources to do so. In this paper we present an alternative SMT architecture, the heterogeneously distributed SMT (hdSMT). Our architecture is based in a novel combination of SMT and clustering techniques in a heterogeneity-aware fashion. The hardware is designed to match the heterogeneous application behavior with the statically and heterogeneously partitioned resources. Such a design is aimed for minimizing the amount of resources wasted to achieve a given performance rate. On top of our statically partitioned architecture, we propose a heuristic policy to map threads to clusters so that each cluster matches the characteristics of the running threads and overall hardware usage is optimized. We compare our hdSMT architecture with a monolithic SMT processor, where all threads compete for the same resources, and with a homogeneous clustered SMT, where resources are statically and equally partitioned across clusters. Our results show that hdSMT architectures obtain an average improvement of 13% and 14% in optimizing performance per area over monolithic SMT and homogeneously clustered SMT respectively. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | Parallel processing (Electronic computers) |
dc.subject.lcsh | Microprocessors |
dc.subject.lcsh | Simultaneous multithreading processors |
dc.subject.other | SMT |
dc.subject.other | CMP |
dc.subject.other | Clustering |
dc.subject.other | Complexity-effective |
dc.subject.other | Heterogeneity-awareness |
dc.subject.other | Mapping policies |
dc.title | A complexity-effective simultaneous multithreading architecture |
dc.type | Conference report |
dc.subject.lemac | Processament en paral·lel (Ordinadors) |
dc.subject.lemac | Microprocessadors |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1109/ICPP.2005.7 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/1488611/ |
dc.rights.access | Open Access |
local.identifier.drac | 2401943 |
dc.description.version | Postprint (published version) |
local.citation.author | Acosta, C. A.; Falcón, A.; Ramírez, A.; Valero, M. |
local.citation.contributor | International Conference on Parallel Processing |
local.citation.pubplace | Oslo |
local.citation.publicationName | 2005 International Conference on Parallel Processing: 14-17 June 2005, Oslo, Norway: proceedings |
local.citation.startingPage | 157 |
local.citation.endingPage | 164 |