Exploiting fine-grain thread parallelism on multicore architectures
| dc.contributor.author | Hadjidoukas, P. E. | en |
| dc.contributor.author | Philos, G. C. | en |
| dc.contributor.author | Dimakopoulos, V. V. | en |
| dc.date.accessioned | 2015-11-24T17:02:01Z | |
| dc.date.available | 2015-11-24T17:02:01Z | |
| dc.identifier.issn | 1058-9244 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/11006 | |
| dc.rights | Default Licence | - |
| dc.subject | multicore architectures | en |
| dc.subject | openmp | en |
| dc.subject | multithreading | en |
| dc.subject | runtime systems | en |
| dc.subject | openmp | en |
| dc.subject | performance | en |
| dc.subject | system | en |
| dc.title | Exploiting fine-grain thread parallelism on multicore architectures | en |
| heal.abstract | In this work we present a runtime threading system which provides an efficient substrate for fine-grain parallelism, suitable for deployment in multicore platforms. Its architecture encompasses a number of optimizations that make it particularly effective in managing a large number of threads and with low overheads. The runtime system has been integrated into an OpenMP implementation to allow for transparent usage under a high level programming paradigm. We evaluate our implementation on two multicore systems using synthetic microbenchmarks and a real-time face detection application. | en |
| heal.access | campus | - |
| heal.fullTextAvailability | TRUE | - |
| heal.identifier.primary | Doi 10.3233/Spr-2009-0291 | - |
| heal.journalName | Scientific Programming | en |
| heal.journalType | peer reviewed | - |
| heal.language | en | - |
| heal.publicationDate | 2009 | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής | el |
| heal.type | journalArticle | - |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.type.en | Journal article | en |
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