Matches in SemOpenAlex for { <https://semopenalex.org/work/W2023169239> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2023169239 abstract "Many programs can be invoked under different execution options, input parameters and data files. Such different execution contexts may lead to strikingly different execution instances. The optimal code generation may be sensitive to the execution instances. In this paper, we show how to use parametric program analysis to deal with this issue for the optimization problem of computation offloading.Computation offloading has been shown to be an effective way to improve performance and energy saving on mobile devices. Optimal program partitioning for computation offloading depends on the tradeoff between the computation workload and the communication cost. The computation workload and communication requirement may change with different execution instances. Optimal decisions on program partitioning must be made at run time when sufficient information about workload and communication requirement becomes available.Our cost analysis obtains program computation workload and communication cost expressed as functions of run-time parameters, and our parametric partitioning algorithm finds the optimal program partitioning corresponding to different ranges of run-time parameters. At run time, the transformed program self-schedules its tasks on either the mobile device or the server, based on the optimal program partitioning that corresponds to the current values of run-time parameters. Experimental results on an HP IPAQ handheld device show that different run-time parameters can lead to quite different program partitioning decisions." @default.
- W2023169239 created "2016-06-24" @default.
- W2023169239 creator A5009135447 @default.
- W2023169239 creator A5013194814 @default.
- W2023169239 date "2004-06-09" @default.
- W2023169239 modified "2023-10-17" @default.
- W2023169239 title "Parametric analysis for adaptive computation offloading" @default.
- W2023169239 cites W1560642162 @default.
- W2023169239 cites W1986293551 @default.
- W2023169239 cites W2030400507 @default.
- W2023169239 cites W2071875983 @default.
- W2023169239 cites W2089294198 @default.
- W2023169239 cites W2340604309 @default.
- W2023169239 cites W2914074464 @default.
- W2023169239 doi "https://doi.org/10.1145/996841.996857" @default.
- W2023169239 hasPublicationYear "2004" @default.
- W2023169239 type Work @default.
- W2023169239 sameAs 2023169239 @default.
- W2023169239 citedByCount "60" @default.
- W2023169239 countsByYear W20231692392012 @default.
- W2023169239 countsByYear W20231692392013 @default.
- W2023169239 countsByYear W20231692392014 @default.
- W2023169239 countsByYear W20231692392015 @default.
- W2023169239 countsByYear W20231692392016 @default.
- W2023169239 countsByYear W20231692392017 @default.
- W2023169239 countsByYear W20231692392018 @default.
- W2023169239 countsByYear W20231692392019 @default.
- W2023169239 countsByYear W20231692392020 @default.
- W2023169239 countsByYear W20231692392021 @default.
- W2023169239 crossrefType "proceedings-article" @default.
- W2023169239 hasAuthorship W2023169239A5009135447 @default.
- W2023169239 hasAuthorship W2023169239A5013194814 @default.
- W2023169239 hasConcept C105795698 @default.
- W2023169239 hasConcept C111919701 @default.
- W2023169239 hasConcept C11413529 @default.
- W2023169239 hasConcept C117251300 @default.
- W2023169239 hasConcept C120314980 @default.
- W2023169239 hasConcept C149635348 @default.
- W2023169239 hasConcept C173608175 @default.
- W2023169239 hasConcept C186967261 @default.
- W2023169239 hasConcept C2778456923 @default.
- W2023169239 hasConcept C2778476105 @default.
- W2023169239 hasConcept C2781041963 @default.
- W2023169239 hasConcept C33923547 @default.
- W2023169239 hasConcept C41008148 @default.
- W2023169239 hasConcept C45374587 @default.
- W2023169239 hasConcept C79403827 @default.
- W2023169239 hasConcept C81860439 @default.
- W2023169239 hasConcept C93996380 @default.
- W2023169239 hasConceptScore W2023169239C105795698 @default.
- W2023169239 hasConceptScore W2023169239C111919701 @default.
- W2023169239 hasConceptScore W2023169239C11413529 @default.
- W2023169239 hasConceptScore W2023169239C117251300 @default.
- W2023169239 hasConceptScore W2023169239C120314980 @default.
- W2023169239 hasConceptScore W2023169239C149635348 @default.
- W2023169239 hasConceptScore W2023169239C173608175 @default.
- W2023169239 hasConceptScore W2023169239C186967261 @default.
- W2023169239 hasConceptScore W2023169239C2778456923 @default.
- W2023169239 hasConceptScore W2023169239C2778476105 @default.
- W2023169239 hasConceptScore W2023169239C2781041963 @default.
- W2023169239 hasConceptScore W2023169239C33923547 @default.
- W2023169239 hasConceptScore W2023169239C41008148 @default.
- W2023169239 hasConceptScore W2023169239C45374587 @default.
- W2023169239 hasConceptScore W2023169239C79403827 @default.
- W2023169239 hasConceptScore W2023169239C81860439 @default.
- W2023169239 hasConceptScore W2023169239C93996380 @default.
- W2023169239 hasLocation W20231692391 @default.
- W2023169239 hasOpenAccess W2023169239 @default.
- W2023169239 hasPrimaryLocation W20231692391 @default.
- W2023169239 hasRelatedWork W2071686479 @default.
- W2023169239 hasRelatedWork W2909886062 @default.
- W2023169239 hasRelatedWork W2909978654 @default.
- W2023169239 hasRelatedWork W3118897780 @default.
- W2023169239 hasRelatedWork W3121962370 @default.
- W2023169239 hasRelatedWork W4226071851 @default.
- W2023169239 hasRelatedWork W4253454736 @default.
- W2023169239 hasRelatedWork W4312714354 @default.
- W2023169239 hasRelatedWork W4313145167 @default.
- W2023169239 hasRelatedWork W4313330951 @default.
- W2023169239 isParatext "false" @default.
- W2023169239 isRetracted "false" @default.
- W2023169239 magId "2023169239" @default.
- W2023169239 workType "article" @default.