Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014155344> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2014155344 abstract "Today, Coarse Grained Reconfigurable Architectures (CGRAs) are becoming an increasingly popular implementation platform. In real world applications, the CGRAs are required to simultaneously host processing (e.g. Audio/video acquisition) and estimation (e.g. audio/video/image recognition) tasks. For estimation problems, neural networks, promise a higher efficiency than conventional processing. However, most of the existing CGRAs provide no support for neural networks. To realize realize both neural networks and conventional processing on the same platform, this paper presents NeuroCGRA. NeuroCGRA allows the processing elements and the network to dynamically morph into either conventional CGRA or a neural network, depending on the hosted application. We have chosen the DRRA as a vehicle to study the feasibility and overheads of our approach. Synthesis results reveal that the proposed enhancements incur negligible overheads (4.4% area and 9.1% power) compared to the original DRRA cell." @default.
- W2014155344 created "2016-06-24" @default.
- W2014155344 creator A5003371230 @default.
- W2014155344 creator A5026355063 @default.
- W2014155344 creator A5033338750 @default.
- W2014155344 creator A5054438127 @default.
- W2014155344 creator A5063193249 @default.
- W2014155344 creator A5075314597 @default.
- W2014155344 creator A5089100899 @default.
- W2014155344 date "2014-07-01" @default.
- W2014155344 modified "2023-09-30" @default.
- W2014155344 title "NeuroCGRA: A CGRA with support for neural networks" @default.
- W2014155344 cites W2009832130 @default.
- W2014155344 cites W2028166238 @default.
- W2014155344 cites W2040466547 @default.
- W2014155344 cites W2076226644 @default.
- W2014155344 cites W2084529981 @default.
- W2014155344 cites W2121423846 @default.
- W2014155344 cites W2133299437 @default.
- W2014155344 cites W2134673133 @default.
- W2014155344 cites W2138331854 @default.
- W2014155344 cites W2144175376 @default.
- W2014155344 cites W2152430060 @default.
- W2014155344 cites W2152839228 @default.
- W2014155344 cites W2164653071 @default.
- W2014155344 cites W2168249960 @default.
- W2014155344 cites W2187230075 @default.
- W2014155344 cites W4240237526 @default.
- W2014155344 doi "https://doi.org/10.1109/hpcsim.2014.6903727" @default.
- W2014155344 hasPublicationYear "2014" @default.
- W2014155344 type Work @default.
- W2014155344 sameAs 2014155344 @default.
- W2014155344 citedByCount "13" @default.
- W2014155344 countsByYear W20141553442015 @default.
- W2014155344 countsByYear W20141553442016 @default.
- W2014155344 countsByYear W20141553442017 @default.
- W2014155344 countsByYear W20141553442019 @default.
- W2014155344 countsByYear W20141553442020 @default.
- W2014155344 countsByYear W20141553442021 @default.
- W2014155344 countsByYear W20141553442022 @default.
- W2014155344 countsByYear W20141553442023 @default.
- W2014155344 crossrefType "proceedings-article" @default.
- W2014155344 hasAuthorship W2014155344A5003371230 @default.
- W2014155344 hasAuthorship W2014155344A5026355063 @default.
- W2014155344 hasAuthorship W2014155344A5033338750 @default.
- W2014155344 hasAuthorship W2014155344A5054438127 @default.
- W2014155344 hasAuthorship W2014155344A5063193249 @default.
- W2014155344 hasAuthorship W2014155344A5075314597 @default.
- W2014155344 hasAuthorship W2014155344A5089100899 @default.
- W2014155344 hasConcept C106515295 @default.
- W2014155344 hasConcept C118524514 @default.
- W2014155344 hasConcept C149635348 @default.
- W2014155344 hasConcept C154945302 @default.
- W2014155344 hasConcept C173608175 @default.
- W2014155344 hasConcept C41008148 @default.
- W2014155344 hasConcept C50644808 @default.
- W2014155344 hasConceptScore W2014155344C106515295 @default.
- W2014155344 hasConceptScore W2014155344C118524514 @default.
- W2014155344 hasConceptScore W2014155344C149635348 @default.
- W2014155344 hasConceptScore W2014155344C154945302 @default.
- W2014155344 hasConceptScore W2014155344C173608175 @default.
- W2014155344 hasConceptScore W2014155344C41008148 @default.
- W2014155344 hasConceptScore W2014155344C50644808 @default.
- W2014155344 hasLocation W20141553441 @default.
- W2014155344 hasOpenAccess W2014155344 @default.
- W2014155344 hasPrimaryLocation W20141553441 @default.
- W2014155344 hasRelatedWork W1986724511 @default.
- W2014155344 hasRelatedWork W2033591085 @default.
- W2014155344 hasRelatedWork W2063064158 @default.
- W2014155344 hasRelatedWork W2067860068 @default.
- W2014155344 hasRelatedWork W2149100091 @default.
- W2014155344 hasRelatedWork W2357576365 @default.
- W2014155344 hasRelatedWork W2364612676 @default.
- W2014155344 hasRelatedWork W2374512474 @default.
- W2014155344 hasRelatedWork W2386387936 @default.
- W2014155344 hasRelatedWork W3003815297 @default.
- W2014155344 isParatext "false" @default.
- W2014155344 isRetracted "false" @default.
- W2014155344 magId "2014155344" @default.
- W2014155344 workType "article" @default.