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Integrating dataflow abstractions into the shared memory model
dc.contributor.author | Gajinov, Vladimir |
dc.contributor.author | Stipic, Srdjan |
dc.contributor.author | Unsal, Osman Sabri |
dc.contributor.author | Harris, Tim |
dc.contributor.author | Ayguadé Parra, Eduard |
dc.contributor.author | Cristal Kestelman, Adrián |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2013-04-03T10:24:08Z |
dc.date.created | 2012 |
dc.date.issued | 2012 |
dc.identifier.citation | Gajinov, V. [et al.]. Integrating dataflow abstractions into the shared memory model. A: International Symposium on Computer Architecture and High Performance Computing. "24th International Symposium on Computer Architecture and High Performance Computing". New York: 2012, p. 243-251. |
dc.identifier.uri | http://hdl.handle.net/2117/18559 |
dc.description.abstract | In this paper we present Atomic Dataflow model (ADF), a new task-based parallel programming model for C/C++ which integrates dataflow abstractions into the shared memory programming model. The ADF model provides pragma directives that allow a programmer to organize a program into a set of tasks and to explicitly define input data for each task. The task dependency information is conveyed to the ADF runtime system which constructs the dataflow task graph and builds the necessary infrastructure for dataflow execution. Additionally, the ADF model allows tasks to share data. The key idea is that comput ation is triggered by dataflow between tasks but that, within a task, execution occurs by making atomic updates to common mutable state. To that end, the ADF model employs transactional memory which guarantees atomicity of shared memory updates. We show examples that illustrate how the programmability of shared memory can be improved using the ADF model. Moreover, our evaluation shows that the ADF model performs well in comparison with programs para llelized using OpenMP and transactional memory. |
dc.format.extent | 9 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
dc.subject.lcsh | High performance computing |
dc.title | Integrating dataflow abstractions into the shared memory model |
dc.type | Conference report |
dc.subject.lemac | Càlcul intensiu (Informàtica) |
dc.contributor.group | Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
dc.identifier.doi | 10.1109/SBAC-PAD.2012.24 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6374795 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 11629861 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Gajinov, V.; Stipic, S.; Unsal, O.; Harris, T.; Ayguade, E.; Cristal-Kestelman, A. |
local.citation.contributor | International Symposium on Computer Architecture and High Performance Computing |
local.citation.pubplace | New York |
local.citation.publicationName | 24th International Symposium on Computer Architecture and High Performance Computing |
local.citation.startingPage | 243 |
local.citation.endingPage | 251 |