Matches in SemOpenAlex for { <https://semopenalex.org/work/W2556941761> ?p ?o ?g. }
- W2556941761 endingPage "159" @default.
- W2556941761 startingPage "149" @default.
- W2556941761 abstract "With the ability of customization for an application domain, extensible processors have been used more and more in embedded systems in recent years. Extensible processors customize an application domain by executing parts of application code in hardware instead of software. Determining parts of application code as custom instruction generally requires subgraph enumeration and subgraph selection. Both subgraph enumeration problem and subgraph selection problem are computationally difficult problems. Most of previous works focus on sequential algorithms for these two problems. In this paper, we present a parallel implementation of a latest subgraph enumeration algorithm based on a computer cluster. A standard ant colony optimization algorithm (ACO), a modified version of ACO with local optimum search and a parallel ACO algorithm are also proposed to solve the subgraph selection problem in this work. Experimental results show that the parallel algorithms outperform the sequential algorithms in terms of runtime or (and) quality of results. In addition, we have formally proved the upper bound on the number of feasible solutions in subgraph selection problem with or without the overlapping constraint." @default.
- W2556941761 created "2016-11-30" @default.
- W2556941761 creator A5024759532 @default.
- W2556941761 creator A5049047722 @default.
- W2556941761 creator A5055299862 @default.
- W2556941761 creator A5070765151 @default.
- W2556941761 date "2017-05-01" @default.
- W2556941761 modified "2023-10-16" @default.
- W2556941761 title "Parallel custom instruction identification for extensible processors" @default.
- W2556941761 cites W1557288165 @default.
- W2556941761 cites W1686420892 @default.
- W2556941761 cites W1706382616 @default.
- W2556941761 cites W1904065432 @default.
- W2556941761 cites W1972804619 @default.
- W2556941761 cites W1990840846 @default.
- W2556941761 cites W1997633104 @default.
- W2556941761 cites W2007479569 @default.
- W2556941761 cites W2022341273 @default.
- W2556941761 cites W2037962593 @default.
- W2556941761 cites W2039538849 @default.
- W2556941761 cites W2039979393 @default.
- W2556941761 cites W2057455870 @default.
- W2556941761 cites W2067239435 @default.
- W2556941761 cites W2091011471 @default.
- W2556941761 cites W2101637975 @default.
- W2556941761 cites W2107941094 @default.
- W2556941761 cites W2110350195 @default.
- W2556941761 cites W2111488604 @default.
- W2556941761 cites W2114110174 @default.
- W2556941761 cites W2117285153 @default.
- W2556941761 cites W2120312529 @default.
- W2556941761 cites W2121156724 @default.
- W2556941761 cites W2121507132 @default.
- W2556941761 cites W2122553095 @default.
- W2556941761 cites W2125460731 @default.
- W2556941761 cites W2127524685 @default.
- W2556941761 cites W2134084674 @default.
- W2556941761 cites W2145623050 @default.
- W2556941761 cites W2147580127 @default.
- W2556941761 cites W2154929945 @default.
- W2556941761 cites W2157244386 @default.
- W2556941761 cites W2160450201 @default.
- W2556941761 cites W2165892109 @default.
- W2556941761 cites W2169406908 @default.
- W2556941761 cites W2171507906 @default.
- W2556941761 cites W2198889846 @default.
- W2556941761 cites W2544732887 @default.
- W2556941761 doi "https://doi.org/10.1016/j.sysarc.2016.11.011" @default.
- W2556941761 hasPublicationYear "2017" @default.
- W2556941761 type Work @default.
- W2556941761 sameAs 2556941761 @default.
- W2556941761 citedByCount "4" @default.
- W2556941761 countsByYear W25569417612017 @default.
- W2556941761 countsByYear W25569417612018 @default.
- W2556941761 countsByYear W25569417612019 @default.
- W2556941761 crossrefType "journal-article" @default.
- W2556941761 hasAuthorship W2556941761A5024759532 @default.
- W2556941761 hasAuthorship W2556941761A5049047722 @default.
- W2556941761 hasAuthorship W2556941761A5055299862 @default.
- W2556941761 hasAuthorship W2556941761A5070765151 @default.
- W2556941761 hasConcept C11413529 @default.
- W2556941761 hasConcept C114614502 @default.
- W2556941761 hasConcept C131992880 @default.
- W2556941761 hasConcept C132525143 @default.
- W2556941761 hasConcept C134306372 @default.
- W2556941761 hasConcept C154945302 @default.
- W2556941761 hasConcept C156340839 @default.
- W2556941761 hasConcept C173608175 @default.
- W2556941761 hasConcept C199360897 @default.
- W2556941761 hasConcept C32833848 @default.
- W2556941761 hasConcept C33923547 @default.
- W2556941761 hasConcept C36503486 @default.
- W2556941761 hasConcept C40128228 @default.
- W2556941761 hasConcept C41008148 @default.
- W2556941761 hasConcept C80444323 @default.
- W2556941761 hasConcept C81917197 @default.
- W2556941761 hasConceptScore W2556941761C11413529 @default.
- W2556941761 hasConceptScore W2556941761C114614502 @default.
- W2556941761 hasConceptScore W2556941761C131992880 @default.
- W2556941761 hasConceptScore W2556941761C132525143 @default.
- W2556941761 hasConceptScore W2556941761C134306372 @default.
- W2556941761 hasConceptScore W2556941761C154945302 @default.
- W2556941761 hasConceptScore W2556941761C156340839 @default.
- W2556941761 hasConceptScore W2556941761C173608175 @default.
- W2556941761 hasConceptScore W2556941761C199360897 @default.
- W2556941761 hasConceptScore W2556941761C32833848 @default.
- W2556941761 hasConceptScore W2556941761C33923547 @default.
- W2556941761 hasConceptScore W2556941761C36503486 @default.
- W2556941761 hasConceptScore W2556941761C40128228 @default.
- W2556941761 hasConceptScore W2556941761C41008148 @default.
- W2556941761 hasConceptScore W2556941761C80444323 @default.
- W2556941761 hasConceptScore W2556941761C81917197 @default.
- W2556941761 hasFunder F4320321001 @default.
- W2556941761 hasLocation W25569417611 @default.
- W2556941761 hasLocation W25569417612 @default.
- W2556941761 hasOpenAccess W2556941761 @default.
- W2556941761 hasPrimaryLocation W25569417611 @default.
- W2556941761 hasRelatedWork W108845024 @default.