Matches in SemOpenAlex for { <https://semopenalex.org/work/W2972074918> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2972074918 endingPage "127931" @default.
- W2972074918 startingPage "127920" @default.
- W2972074918 abstract "In order to reduce the complexity of energy consumption analysis in GPU general computing and solve the dependence of energy consumption analysis on hardware tools, a GPU general-purpose computing current prediction model was proposed based on the analysis of different GPU architectures and CUDA program execution rules. Firstly, the GPU program was decomposed and the features of the source program were extracted. Then, the relationship model between program features and running current consumption was figured out by using multiple linear regression and BP neural network. Finally, two prediction models were trained by typical sample data. The experimental results showed that the single-program prediction error was less than 10% and the average prediction error was less than 6%. The proposed two GPU current prediction models had good prediction accuracy and good universal property for different GPU architectures. The current prediction model laid the foundation for further analysis of GPU general-purpose computing energy complexity." @default.
- W2972074918 created "2019-09-12" @default.
- W2972074918 creator A5009085502 @default.
- W2972074918 creator A5047305080 @default.
- W2972074918 date "2019-01-01" @default.
- W2972074918 modified "2023-09-24" @default.
- W2972074918 title "Current Prediction Model of GPU Oriented to General Purpose Computing" @default.
- W2972074918 cites W1874230839 @default.
- W2972074918 cites W1978969737 @default.
- W2972074918 cites W1987823408 @default.
- W2972074918 cites W2039708501 @default.
- W2972074918 cites W2046214601 @default.
- W2972074918 cites W2074084090 @default.
- W2972074918 cites W2092963503 @default.
- W2972074918 cites W2093358008 @default.
- W2972074918 cites W2149234156 @default.
- W2972074918 cites W2151587416 @default.
- W2972074918 cites W2167334577 @default.
- W2972074918 cites W2313240392 @default.
- W2972074918 cites W2405527140 @default.
- W2972074918 cites W2522820499 @default.
- W2972074918 cites W2622191808 @default.
- W2972074918 cites W2733664396 @default.
- W2972074918 cites W2743822064 @default.
- W2972074918 cites W2774636253 @default.
- W2972074918 cites W2792743882 @default.
- W2972074918 cites W4240739471 @default.
- W2972074918 doi "https://doi.org/10.1109/access.2019.2939256" @default.
- W2972074918 hasPublicationYear "2019" @default.
- W2972074918 type Work @default.
- W2972074918 sameAs 2972074918 @default.
- W2972074918 citedByCount "1" @default.
- W2972074918 countsByYear W29720749182022 @default.
- W2972074918 crossrefType "journal-article" @default.
- W2972074918 hasAuthorship W2972074918A5009085502 @default.
- W2972074918 hasAuthorship W2972074918A5047305080 @default.
- W2972074918 hasBestOaLocation W29720749181 @default.
- W2972074918 hasConcept C105795698 @default.
- W2972074918 hasConcept C113775141 @default.
- W2972074918 hasConcept C11413529 @default.
- W2972074918 hasConcept C118524514 @default.
- W2972074918 hasConcept C119857082 @default.
- W2972074918 hasConcept C121684516 @default.
- W2972074918 hasConcept C173608175 @default.
- W2972074918 hasConcept C186370098 @default.
- W2972074918 hasConcept C18903297 @default.
- W2972074918 hasConcept C21442007 @default.
- W2972074918 hasConcept C2778119891 @default.
- W2972074918 hasConcept C2780165032 @default.
- W2972074918 hasConcept C2982832238 @default.
- W2972074918 hasConcept C33923547 @default.
- W2972074918 hasConcept C41008148 @default.
- W2972074918 hasConcept C459310 @default.
- W2972074918 hasConcept C50630238 @default.
- W2972074918 hasConcept C50644808 @default.
- W2972074918 hasConcept C86803240 @default.
- W2972074918 hasConceptScore W2972074918C105795698 @default.
- W2972074918 hasConceptScore W2972074918C113775141 @default.
- W2972074918 hasConceptScore W2972074918C11413529 @default.
- W2972074918 hasConceptScore W2972074918C118524514 @default.
- W2972074918 hasConceptScore W2972074918C119857082 @default.
- W2972074918 hasConceptScore W2972074918C121684516 @default.
- W2972074918 hasConceptScore W2972074918C173608175 @default.
- W2972074918 hasConceptScore W2972074918C186370098 @default.
- W2972074918 hasConceptScore W2972074918C18903297 @default.
- W2972074918 hasConceptScore W2972074918C21442007 @default.
- W2972074918 hasConceptScore W2972074918C2778119891 @default.
- W2972074918 hasConceptScore W2972074918C2780165032 @default.
- W2972074918 hasConceptScore W2972074918C2982832238 @default.
- W2972074918 hasConceptScore W2972074918C33923547 @default.
- W2972074918 hasConceptScore W2972074918C41008148 @default.
- W2972074918 hasConceptScore W2972074918C459310 @default.
- W2972074918 hasConceptScore W2972074918C50630238 @default.
- W2972074918 hasConceptScore W2972074918C50644808 @default.
- W2972074918 hasConceptScore W2972074918C86803240 @default.
- W2972074918 hasFunder F4320321001 @default.
- W2972074918 hasLocation W29720749181 @default.
- W2972074918 hasOpenAccess W2972074918 @default.
- W2972074918 hasPrimaryLocation W29720749181 @default.
- W2972074918 hasRelatedWork W1984739956 @default.
- W2972074918 hasRelatedWork W2009665355 @default.
- W2972074918 hasRelatedWork W2030707850 @default.
- W2972074918 hasRelatedWork W2114894811 @default.
- W2972074918 hasRelatedWork W2134368403 @default.
- W2972074918 hasRelatedWork W2152038948 @default.
- W2972074918 hasRelatedWork W2184876247 @default.
- W2972074918 hasRelatedWork W2319727539 @default.
- W2972074918 hasRelatedWork W2883252258 @default.
- W2972074918 hasRelatedWork W2562576480 @default.
- W2972074918 hasVolume "7" @default.
- W2972074918 isParatext "false" @default.
- W2972074918 isRetracted "false" @default.
- W2972074918 magId "2972074918" @default.
- W2972074918 workType "article" @default.