Matches in SemOpenAlex for { <https://semopenalex.org/work/W3006670243> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W3006670243 endingPage "101740" @default.
- W3006670243 startingPage "101740" @default.
- W3006670243 abstract "To support more efficient parallel processing, Network-on-Chip (NoC) is being increasingly adopted as a new alternative interconnection architecture. With the limited number of processing elements (PEs) on an NoC, to perform application tasks efficiently on the PEs has become a key issue. To ensure the completeness of data transmission between tasks in an application, the region-based scheme is used in the most existing task mapping methods. However, due to the dependency of tasks, not all the tasks in an application are executed on the corresponding PEs at the same time, and thus some PEs mapped by tasks are still idle when the required data are not received. This would lead to the issue of low utilization of PEs. In this work, we propose a hierarchical and dependency-aware (HDA) task mapping that covers the concepts of spatial mapping and inter-task dependency (temporal factors) to enhance the elasticity of task mapping. This proposed HDA method adopts a hierarchical task mapping, by using which when a previously mapped task finishes, its corresponding PE can be released and mapped by another unmapped task. As a result, in the region selection phase, fewer PEs in a region are required. This can not only enhance the elasticity of future task mapping but also result in lower communication latencies and higher utilization of PEs. Experiments show that, compared to the existing task mapping methods, including the first-fit mapping, the region-based mapping, and the elastic superposition mapping, the proposed HDA method can result in an average 24.32% enhancement in system performance and an average 44.76% reduction in the energy consumptions. To apply the HDA method to real applications such as embedded systems synthesis benchmarks suite (E3S), compared to the existing task mapping methods, system performance can be enhanced significantly, especially when the number of PEs on an NoC is fewer. Furthermore, the HDA method can also achieve 34.93% reduction in the energy consumptions." @default.
- W3006670243 created "2020-02-24" @default.
- W3006670243 creator A5018627184 @default.
- W3006670243 date "2020-09-01" @default.
- W3006670243 modified "2023-09-27" @default.
- W3006670243 title "HDA: Hierarchical and dependency-aware task mapping for network-on-chip based embedded systems" @default.
- W3006670243 cites W2034309453 @default.
- W3006670243 cites W2043763599 @default.
- W3006670243 cites W2509453741 @default.
- W3006670243 cites W2523521352 @default.
- W3006670243 cites W2547210143 @default.
- W3006670243 cites W2559846639 @default.
- W3006670243 cites W2584939340 @default.
- W3006670243 cites W2613421182 @default.
- W3006670243 cites W2737781656 @default.
- W3006670243 cites W2749684779 @default.
- W3006670243 cites W2886819036 @default.
- W3006670243 cites W2895216495 @default.
- W3006670243 cites W626972714 @default.
- W3006670243 doi "https://doi.org/10.1016/j.sysarc.2020.101740" @default.
- W3006670243 hasPublicationYear "2020" @default.
- W3006670243 type Work @default.
- W3006670243 sameAs 3006670243 @default.
- W3006670243 citedByCount "10" @default.
- W3006670243 countsByYear W30066702432021 @default.
- W3006670243 countsByYear W30066702432022 @default.
- W3006670243 countsByYear W30066702432023 @default.
- W3006670243 crossrefType "journal-article" @default.
- W3006670243 hasAuthorship W3006670243A5018627184 @default.
- W3006670243 hasConcept C120314980 @default.
- W3006670243 hasConcept C124101348 @default.
- W3006670243 hasConcept C154945302 @default.
- W3006670243 hasConcept C162324750 @default.
- W3006670243 hasConcept C187736073 @default.
- W3006670243 hasConcept C19768560 @default.
- W3006670243 hasConcept C2780451532 @default.
- W3006670243 hasConcept C41008148 @default.
- W3006670243 hasConceptScore W3006670243C120314980 @default.
- W3006670243 hasConceptScore W3006670243C124101348 @default.
- W3006670243 hasConceptScore W3006670243C154945302 @default.
- W3006670243 hasConceptScore W3006670243C162324750 @default.
- W3006670243 hasConceptScore W3006670243C187736073 @default.
- W3006670243 hasConceptScore W3006670243C19768560 @default.
- W3006670243 hasConceptScore W3006670243C2780451532 @default.
- W3006670243 hasConceptScore W3006670243C41008148 @default.
- W3006670243 hasFunder F4320322795 @default.
- W3006670243 hasLocation W30066702431 @default.
- W3006670243 hasOpenAccess W3006670243 @default.
- W3006670243 hasPrimaryLocation W30066702431 @default.
- W3006670243 hasRelatedWork W1529400504 @default.
- W3006670243 hasRelatedWork W1587227328 @default.
- W3006670243 hasRelatedWork W1596201972 @default.
- W3006670243 hasRelatedWork W2081647779 @default.
- W3006670243 hasRelatedWork W2160425906 @default.
- W3006670243 hasRelatedWork W2383067397 @default.
- W3006670243 hasRelatedWork W2888625260 @default.
- W3006670243 hasRelatedWork W2998813341 @default.
- W3006670243 hasRelatedWork W63071447 @default.
- W3006670243 hasRelatedWork W65617392 @default.
- W3006670243 hasVolume "108" @default.
- W3006670243 isParatext "false" @default.
- W3006670243 isRetracted "false" @default.
- W3006670243 magId "3006670243" @default.
- W3006670243 workType "article" @default.