Matches in SemOpenAlex for { <https://semopenalex.org/work/W2093397470> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2093397470 abstract "An important step in Heterogeneous System Development is Hardware/Software Partitioning. This process involves exploring a huge design space. By using profiling to select hot-spots and estimate area and delay we can prune the design space considerably. We present a Quantitative Model that makes early predictions to prune the design space and support the partitioning process. The model is based on Software Complexity Metrics, which capture important aspects of functions as control intensity, data intensity, and code size. To remedy interdependence among software metrics, we performed a Principal Component Analysis. The hardware characteristics were determined by automatically generating VHDL from C using the DWARV C-to-VHDL compiler. Linear regression on these data generated our model. The model error differs per hardware characteristic. We show that for flip-flops the mean error is 69%. In conclusion, our quantitative model makes fast and sufficiently accurate area predictions in support of early Hardware/Software Partitioning." @default.
- W2093397470 created "2016-06-24" @default.
- W2093397470 creator A5005006223 @default.
- W2093397470 creator A5019437330 @default.
- W2093397470 creator A5058128591 @default.
- W2093397470 creator A5066952816 @default.
- W2093397470 creator A5075050234 @default.
- W2093397470 date "2007-08-01" @default.
- W2093397470 modified "2023-09-23" @default.
- W2093397470 title "A Quantitative Prediction Model for Hardware/Software Partitioning" @default.
- W2093397470 cites W1964962870 @default.
- W2093397470 cites W1987317123 @default.
- W2093397470 cites W1997949427 @default.
- W2093397470 cites W2018912833 @default.
- W2093397470 cites W2021112555 @default.
- W2093397470 cites W2027710046 @default.
- W2093397470 cites W2036983429 @default.
- W2093397470 cites W2051174844 @default.
- W2093397470 cites W2104121286 @default.
- W2093397470 cites W2119903202 @default.
- W2093397470 cites W2132089805 @default.
- W2093397470 cites W2146188244 @default.
- W2093397470 cites W2625027210 @default.
- W2093397470 doi "https://doi.org/10.1109/fpl.2007.4380757" @default.
- W2093397470 hasPublicationYear "2007" @default.
- W2093397470 type Work @default.
- W2093397470 sameAs 2093397470 @default.
- W2093397470 citedByCount "23" @default.
- W2093397470 countsByYear W20933974702012 @default.
- W2093397470 countsByYear W20933974702013 @default.
- W2093397470 countsByYear W20933974702014 @default.
- W2093397470 countsByYear W20933974702017 @default.
- W2093397470 crossrefType "proceedings-article" @default.
- W2093397470 hasAuthorship W2093397470A5005006223 @default.
- W2093397470 hasAuthorship W2093397470A5019437330 @default.
- W2093397470 hasAuthorship W2093397470A5058128591 @default.
- W2093397470 hasAuthorship W2093397470A5066952816 @default.
- W2093397470 hasAuthorship W2093397470A5075050234 @default.
- W2093397470 hasConcept C149635348 @default.
- W2093397470 hasConcept C161821725 @default.
- W2093397470 hasConcept C169590947 @default.
- W2093397470 hasConcept C173608175 @default.
- W2093397470 hasConcept C186846655 @default.
- W2093397470 hasConcept C187191949 @default.
- W2093397470 hasConcept C199360897 @default.
- W2093397470 hasConcept C2776221188 @default.
- W2093397470 hasConcept C2777904410 @default.
- W2093397470 hasConcept C36941000 @default.
- W2093397470 hasConcept C41008148 @default.
- W2093397470 hasConcept C42935608 @default.
- W2093397470 hasConcept C529173508 @default.
- W2093397470 hasConcept C9390403 @default.
- W2093397470 hasConceptScore W2093397470C149635348 @default.
- W2093397470 hasConceptScore W2093397470C161821725 @default.
- W2093397470 hasConceptScore W2093397470C169590947 @default.
- W2093397470 hasConceptScore W2093397470C173608175 @default.
- W2093397470 hasConceptScore W2093397470C186846655 @default.
- W2093397470 hasConceptScore W2093397470C187191949 @default.
- W2093397470 hasConceptScore W2093397470C199360897 @default.
- W2093397470 hasConceptScore W2093397470C2776221188 @default.
- W2093397470 hasConceptScore W2093397470C2777904410 @default.
- W2093397470 hasConceptScore W2093397470C36941000 @default.
- W2093397470 hasConceptScore W2093397470C41008148 @default.
- W2093397470 hasConceptScore W2093397470C42935608 @default.
- W2093397470 hasConceptScore W2093397470C529173508 @default.
- W2093397470 hasConceptScore W2093397470C9390403 @default.
- W2093397470 hasLocation W20933974701 @default.
- W2093397470 hasOpenAccess W2093397470 @default.
- W2093397470 hasPrimaryLocation W20933974701 @default.
- W2093397470 hasRelatedWork W1541585229 @default.
- W2093397470 hasRelatedWork W1583465708 @default.
- W2093397470 hasRelatedWork W1601646354 @default.
- W2093397470 hasRelatedWork W1604898313 @default.
- W2093397470 hasRelatedWork W2078700326 @default.
- W2093397470 hasRelatedWork W2348361596 @default.
- W2093397470 hasRelatedWork W4235959758 @default.
- W2093397470 hasRelatedWork W4245265375 @default.
- W2093397470 hasRelatedWork W2479014312 @default.
- W2093397470 hasRelatedWork W2521117258 @default.
- W2093397470 isParatext "false" @default.
- W2093397470 isRetracted "false" @default.
- W2093397470 magId "2093397470" @default.
- W2093397470 workType "article" @default.