Matches in SemOpenAlex for { <https://semopenalex.org/work/W3047541580> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W3047541580 abstract "Abstract Dynamic frequency scaling (DFS) is one of the most important approaches for on-the-fly power optimization in modern-day processors. Owing to the trend of chip size shrinkage and increasing the complexity of system design, the problem of achieving an efficient DFS depends upon multi-parametric, non-linear optimization. Hence, it becomes extremely important to identify an optimal underclocking frequency on-the-fly, which depends upon numerous parameters that do not share direct relationship amongst each other. This paper proposes a machine learning approach to DFS of a ubiquitous single-core processor. Several performance parameters of the processor were monitored under an application of a number of clocking frequencies. The dataset thus generated was used to train four artificial neural networks (ANNs) viz. generalized regression (GRNN), decision tree classifier, random forest classifier and backpropagation technique. Under changing parametric conditions of the proposed network, the modes were fit to data while running three applications, i.e. 64- and 1024-point fast fourier transform (FFT) and basicmath applications. The performance of all ANNs was found to be promising and good generalization was obtained with all datasets. In the view of optimizing both speed and power of a system, the results indicate towards suitability of trained GRNN for on-chip deployment for implementing DFS." @default.
- W3047541580 created "2020-08-10" @default.
- W3047541580 creator A5025305357 @default.
- W3047541580 creator A5085753185 @default.
- W3047541580 date "2020-08-04" @default.
- W3047541580 modified "2023-10-03" @default.
- W3047541580 title "Dynamic Frequency Scaling of a Single-Core Processor Using Machine Learning Paradigms" @default.
- W3047541580 cites W1970361289 @default.
- W3047541580 cites W1976063779 @default.
- W3047541580 cites W2002353621 @default.
- W3047541580 cites W2003756933 @default.
- W3047541580 cites W2015109197 @default.
- W3047541580 cites W2022968470 @default.
- W3047541580 cites W2046580775 @default.
- W3047541580 cites W2070191702 @default.
- W3047541580 cites W2082615927 @default.
- W3047541580 cites W2109025904 @default.
- W3047541580 cites W2131928121 @default.
- W3047541580 cites W2136325278 @default.
- W3047541580 cites W2138574538 @default.
- W3047541580 cites W2180748755 @default.
- W3047541580 cites W2533396546 @default.
- W3047541580 cites W2567319156 @default.
- W3047541580 cites W2587845665 @default.
- W3047541580 cites W2746722165 @default.
- W3047541580 cites W2757988828 @default.
- W3047541580 cites W2890133646 @default.
- W3047541580 doi "https://doi.org/10.1093/comjnl/bxaa092" @default.
- W3047541580 hasPublicationYear "2020" @default.
- W3047541580 type Work @default.
- W3047541580 sameAs 3047541580 @default.
- W3047541580 citedByCount "1" @default.
- W3047541580 countsByYear W30475415802023 @default.
- W3047541580 crossrefType "journal-article" @default.
- W3047541580 hasAuthorship W3047541580A5025305357 @default.
- W3047541580 hasAuthorship W3047541580A5085753185 @default.
- W3047541580 hasConcept C105795698 @default.
- W3047541580 hasConcept C113775141 @default.
- W3047541580 hasConcept C11413529 @default.
- W3047541580 hasConcept C117251300 @default.
- W3047541580 hasConcept C119857082 @default.
- W3047541580 hasConcept C154945302 @default.
- W3047541580 hasConcept C155032097 @default.
- W3047541580 hasConcept C169258074 @default.
- W3047541580 hasConcept C173608175 @default.
- W3047541580 hasConcept C33923547 @default.
- W3047541580 hasConcept C41008148 @default.
- W3047541580 hasConcept C50644808 @default.
- W3047541580 hasConcept C75172450 @default.
- W3047541580 hasConcept C78766204 @default.
- W3047541580 hasConcept C84525736 @default.
- W3047541580 hasConcept C95623464 @default.
- W3047541580 hasConceptScore W3047541580C105795698 @default.
- W3047541580 hasConceptScore W3047541580C113775141 @default.
- W3047541580 hasConceptScore W3047541580C11413529 @default.
- W3047541580 hasConceptScore W3047541580C117251300 @default.
- W3047541580 hasConceptScore W3047541580C119857082 @default.
- W3047541580 hasConceptScore W3047541580C154945302 @default.
- W3047541580 hasConceptScore W3047541580C155032097 @default.
- W3047541580 hasConceptScore W3047541580C169258074 @default.
- W3047541580 hasConceptScore W3047541580C173608175 @default.
- W3047541580 hasConceptScore W3047541580C33923547 @default.
- W3047541580 hasConceptScore W3047541580C41008148 @default.
- W3047541580 hasConceptScore W3047541580C50644808 @default.
- W3047541580 hasConceptScore W3047541580C75172450 @default.
- W3047541580 hasConceptScore W3047541580C78766204 @default.
- W3047541580 hasConceptScore W3047541580C84525736 @default.
- W3047541580 hasConceptScore W3047541580C95623464 @default.
- W3047541580 hasLocation W30475415801 @default.
- W3047541580 hasOpenAccess W3047541580 @default.
- W3047541580 hasPrimaryLocation W30475415801 @default.
- W3047541580 hasRelatedWork W11955044 @default.
- W3047541580 hasRelatedWork W12452195 @default.
- W3047541580 hasRelatedWork W1448911 @default.
- W3047541580 hasRelatedWork W1906261 @default.
- W3047541580 hasRelatedWork W3228416 @default.
- W3047541580 hasRelatedWork W4517415 @default.
- W3047541580 hasRelatedWork W77156 @default.
- W3047541580 hasRelatedWork W7858904 @default.
- W3047541580 hasRelatedWork W825916 @default.
- W3047541580 hasRelatedWork W9454532 @default.
- W3047541580 isParatext "false" @default.
- W3047541580 isRetracted "false" @default.
- W3047541580 magId "3047541580" @default.
- W3047541580 workType "article" @default.