Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308536693> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4308536693 abstract "Approximation is an emerging design methodology for reducing power consumption and latency of on-chip communication in many computing applications. However, existing approximation techniques either achieve modest improvements in these metrics or require retraining after approximation. Since classifying many images introduces intensive on-chip communication, reductions in both network latency and power consumption are highly desired. In this paper, we propose an approximate communication technique (ACT) to improve the efficiency of on-chip communications for image classification applications. The proposed technique exploits the error-tolerance of the image classification process to reduce power consumption and latency of on-chip communications, resulting in better overall performance for image classification. This is achieved by incorporating novel quality control and data approximation mechanisms that reduce the packet size. In particular, the proposed quality control mechanisms identify the error-resilient variables and automatically adjust the error thresholds of the variables based on the image classification accuracy. The proposed data approximation mechanisms significantly reduce packet size when the variables are transmitted. The proposed technique reduces the number of flits in each data packet as well as the on-chip communication while maintaining an excellent image classification accuracy. Cycle-accurate simulation results show that ACT achieves 27% in network latency reduction and 28% in dynamic power reduction as compared to existing approximate communication techniques with less than 0.85% classification accuracy loss." @default.
- W4308536693 created "2022-11-12" @default.
- W4308536693 creator A5001979328 @default.
- W4308536693 creator A5034189643 @default.
- W4308536693 creator A5062071376 @default.
- W4308536693 creator A5063521542 @default.
- W4308536693 date "2022-10-01" @default.
- W4308536693 modified "2023-09-23" @default.
- W4308536693 title "Approximate Network-on-Chips with Application to Image Classification" @default.
- W4308536693 cites W1974967412 @default.
- W4308536693 cites W2097117768 @default.
- W4308536693 cites W2187230075 @default.
- W4308536693 cites W2265166184 @default.
- W4308536693 cites W2276486856 @default.
- W4308536693 cites W2626991402 @default.
- W4308536693 cites W2733970977 @default.
- W4308536693 cites W2783454406 @default.
- W4308536693 cites W2883780447 @default.
- W4308536693 cites W2887876256 @default.
- W4308536693 cites W2894006184 @default.
- W4308536693 cites W2899817918 @default.
- W4308536693 cites W2919115771 @default.
- W4308536693 cites W2925548206 @default.
- W4308536693 cites W2945783466 @default.
- W4308536693 cites W2963980515 @default.
- W4308536693 cites W2964081807 @default.
- W4308536693 cites W2980104813 @default.
- W4308536693 cites W3001686302 @default.
- W4308536693 cites W3012561096 @default.
- W4308536693 cites W3036935434 @default.
- W4308536693 cites W3094260441 @default.
- W4308536693 cites W3102175148 @default.
- W4308536693 cites W3159222787 @default.
- W4308536693 doi "https://doi.org/10.1109/nas55553.2022.9925540" @default.
- W4308536693 hasPublicationYear "2022" @default.
- W4308536693 type Work @default.
- W4308536693 citedByCount "0" @default.
- W4308536693 crossrefType "proceedings-article" @default.
- W4308536693 hasAuthorship W4308536693A5001979328 @default.
- W4308536693 hasAuthorship W4308536693A5034189643 @default.
- W4308536693 hasAuthorship W4308536693A5062071376 @default.
- W4308536693 hasAuthorship W4308536693A5063521542 @default.
- W4308536693 hasConcept C113775141 @default.
- W4308536693 hasConcept C115961682 @default.
- W4308536693 hasConcept C154945302 @default.
- W4308536693 hasConcept C158379750 @default.
- W4308536693 hasConcept C31258907 @default.
- W4308536693 hasConcept C41008148 @default.
- W4308536693 hasConcept C54108766 @default.
- W4308536693 hasConcept C55020928 @default.
- W4308536693 hasConcept C76155785 @default.
- W4308536693 hasConcept C79403827 @default.
- W4308536693 hasConcept C82876162 @default.
- W4308536693 hasConceptScore W4308536693C113775141 @default.
- W4308536693 hasConceptScore W4308536693C115961682 @default.
- W4308536693 hasConceptScore W4308536693C154945302 @default.
- W4308536693 hasConceptScore W4308536693C158379750 @default.
- W4308536693 hasConceptScore W4308536693C31258907 @default.
- W4308536693 hasConceptScore W4308536693C41008148 @default.
- W4308536693 hasConceptScore W4308536693C54108766 @default.
- W4308536693 hasConceptScore W4308536693C55020928 @default.
- W4308536693 hasConceptScore W4308536693C76155785 @default.
- W4308536693 hasConceptScore W4308536693C79403827 @default.
- W4308536693 hasConceptScore W4308536693C82876162 @default.
- W4308536693 hasFunder F4320306076 @default.
- W4308536693 hasLocation W43085366931 @default.
- W4308536693 hasOpenAccess W4308536693 @default.
- W4308536693 hasPrimaryLocation W43085366931 @default.
- W4308536693 hasRelatedWork W2087690655 @default.
- W4308536693 hasRelatedWork W2187379168 @default.
- W4308536693 hasRelatedWork W2367667227 @default.
- W4308536693 hasRelatedWork W2389505258 @default.
- W4308536693 hasRelatedWork W2611366387 @default.
- W4308536693 hasRelatedWork W2626274730 @default.
- W4308536693 hasRelatedWork W2734385542 @default.
- W4308536693 hasRelatedWork W2982124863 @default.
- W4308536693 hasRelatedWork W3199712142 @default.
- W4308536693 hasRelatedWork W4296571897 @default.
- W4308536693 isParatext "false" @default.
- W4308536693 isRetracted "false" @default.
- W4308536693 workType "article" @default.