Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/33105
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Diavastos, Andreas | - |
dc.contributor.author | Trancoso, Pedro | - |
dc.date.accessioned | 2024-10-15T09:35:35Z | - |
dc.date.available | 2024-10-15T09:35:35Z | - |
dc.date.issued | 2017-09-06 | - |
dc.identifier.citation | ACM Transactions on Architecture and Code Optimization (TACO), 2017, vol. 14, iss. 3, article no. 31, pp. 1-23 | en_US |
dc.identifier.issn | 15443566 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/33105 | - |
dc.description.abstract | SWITCHES is a task-based dataflow runtime that implements a lightweight distributed triggering system for runtime dependence resolution and uses static scheduling and compile-Time assignment policies to reduce runtime overheads. Unlike other systems, the granularity of loop-Tasks can be increased to favor data-locality, even when having dependences across different loops. SWITCHES introduces explicit task resource allocation mechanisms for efficient allocation of resources and adopts the latest OpenMP Application Programming Interface (API), as to maintain high levels of programming productivity. It provides a source-To-source tool that automatically produces thread-based code. Performance on an Intel Xeon-Phi shows good scalability and surpasses OpenMP by an average of 32%. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | ACM Transactions on Architecture and Code Optimization | en_US |
dc.title | SWITCHES: A lightweight runtime for dataflow execution of tasks on many-cores | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.collaboration | Chalmers University of Technology | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1145/3127068 | en_US |
dc.identifier.scopus | 2-s2.0-85029490087 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85029490087 | - |
dc.relation.issue | 3 | en_US |
dc.relation.volume | 14 | en_US |
cut.common.academicyear | 2017-2018 | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 23 | en_US |
item.grantfulltext | none | - |
item.openairetype | conferenceObject | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.fulltext | No Fulltext | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-7139-4444 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
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