FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2770513052> ?p ?o ?g. }

• W2770513052 abstract "Embedded systems are widely used today in different Digital Signal Processing (DSP) applications that usually require high computation power and tight constraints. Using SoC technology increases the challenges facing a designer when choosing an appropriate design. A tool that helps explore different architectures is required to design such an efficient system. The tool should be able to explore different architectures and evaluate them according to the given constraints. The design space to be explored depends on the application domain and the target platform. This thesis proposes an efficient Particle Swarm Optimization (PSO) technique that can handle multi-objective optimization problems. It is based on the strength-Pareto approach originally used in Evolutionary Algorithms (EA). The proposed modified particle-swarm algorithm is used to build three hybrid EA-PSO algorithms to solve different multi-objective optimization problems. This algorithm and its hybrid forms are tested using seven benchmarks from the literature and the results are compared to the strength Pareto evolutionary algorithm (SPEA2) and a competitive multi-objective PSO. Combining PSO and evolutionary algorithms leads to superior hybrid algorithms that outperform SPEA2, the competitive multi-objective PSO (MO-PSO) and the proposed strength Pareto PSO based on different metrics. Accordingly, an optimization engine is built using these meta-heuristics that can be used to solve multi-objective optimization problems in general and design exploration in particular. The direction of the search process depends on the evaluation of each solution generated. In this thesis an approach for performance evaluation of embedded systems is presented. Several cycle-accurate simulations are performed for commercial embedded processors used in our study. The simulation results are used to build Artificial Neural Network (ANN) models with accuracy up to 90% compared to cycle-accurate simulations with a very significant time saving. These models are combined with an analytical model and static scheduler to increase the accuracy of the estimation process. The optimization engine is integrated with the performance evaluation module to build an architecture exploration framework for embedded DSP applications. The functionality of the framework is verified by using benchmarks from industry. The results show accuracy over 90% comparing the proposed solutions to cycle-accurate simulation." @default.
• W2770513052 created "2017-12-04" @default.
• W2770513052 creator A5027045231 @default.
• W2770513052 date "2010-01-01" @default.
• W2770513052 modified "2023-09-27" @default.
• W2770513052 title "An architecture exploration framework for the implementation of embedded dsp applications" @default.
• W2770513052 cites W1010888847 @default.
• W2770513052 cites W1485245098 @default.
• W2770513052 cites W1551789807 @default.
• W2770513052 cites W1582835330 @default.
• W2770513052 cites W1584555100 @default.
• W2770513052 cites W1585939719 @default.
• W2770513052 cites W1599302520 @default.
• W2770513052 cites W1651131057 @default.
• W2770513052 cites W1652529314 @default.
• W2770513052 cites W1837279029 @default.
• W2770513052 cites W1905847227 @default.
• W2770513052 cites W1957430778 @default.
• W2770513052 cites W1967166234 @default.
• W2770513052 cites W1982602839 @default.
• W2770513052 cites W1989353689 @default.
• W2770513052 cites W2004841659 @default.
• W2770513052 cites W2013418004 @default.
• W2770513052 cites W2032094184 @default.
• W2770513052 cites W2048424596 @default.
• W2770513052 cites W2063306466 @default.
• W2770513052 cites W2083868341 @default.
• W2770513052 cites W2084165293 @default.
• W2770513052 cites W2084443288 @default.
• W2770513052 cites W2095333339 @default.
• W2770513052 cites W2097257658 @default.
• W2770513052 cites W2097571405 @default.
• W2770513052 cites W2102727118 @default.
• W2770513052 cites W2102914803 @default.
• W2770513052 cites W2106334424 @default.
• W2770513052 cites W2109364787 @default.
• W2770513052 cites W2116661285 @default.
• W2770513052 cites W2117444972 @default.
• W2770513052 cites W2118315626 @default.
• W2770513052 cites W2120429086 @default.
• W2770513052 cites W2121477775 @default.
• W2770513052 cites W2126105956 @default.
• W2770513052 cites W2130227050 @default.
• W2770513052 cites W2132211170 @default.
• W2770513052 cites W2132471117 @default.
• W2770513052 cites W2136711971 @default.
• W2770513052 cites W2137474858 @default.
• W2770513052 cites W2138039790 @default.
• W2770513052 cites W2140669431 @default.
• W2770513052 cites W2141480229 @default.
• W2770513052 cites W2141955538 @default.
• W2770513052 cites W2143331258 @default.
• W2770513052 cites W2144444190 @default.
• W2770513052 cites W2145930857 @default.
• W2770513052 cites W2147554638 @default.
• W2770513052 cites W2147770312 @default.
• W2770513052 cites W2151415616 @default.
• W2770513052 cites W2151676061 @default.
• W2770513052 cites W2152991926 @default.
• W2770513052 cites W2154668371 @default.
• W2770513052 cites W2157272747 @default.
• W2770513052 cites W2157577358 @default.
• W2770513052 cites W2159247054 @default.
• W2770513052 cites W2162203206 @default.
• W2770513052 cites W2162534235 @default.
• W2770513052 cites W2163046274 @default.
• W2770513052 cites W2163255067 @default.
• W2770513052 cites W2164939754 @default.
• W2770513052 cites W2166720067 @default.
• W2770513052 cites W2168225933 @default.
• W2770513052 cites W2168786079 @default.
• W2770513052 cites W2172212694 @default.
• W2770513052 cites W2261054240 @default.
• W2770513052 cites W2554754877 @default.
• W2770513052 cites W3102715269 @default.
• W2770513052 cites W3128942091 @default.
• W2770513052 cites W3140662957 @default.
• W2770513052 cites W3143533263 @default.
• W2770513052 cites W3148775727 @default.
• W2770513052 cites W2994964425 @default.
• W2770513052 hasPublicationYear "2010" @default.
• W2770513052 type Work @default.
• W2770513052 sameAs 2770513052 @default.
• W2770513052 citedByCount "0" @default.
• W2770513052 crossrefType "journal-article" @default.
• W2770513052 hasAuthorship W2770513052A5027045231 @default.
• W2770513052 hasConcept C105902424 @default.
• W2770513052 hasConcept C109718341 @default.
• W2770513052 hasConcept C11413529 @default.
• W2770513052 hasConcept C119857082 @default.
• W2770513052 hasConcept C126255220 @default.
• W2770513052 hasConcept C137635306 @default.
• W2770513052 hasConcept C154945302 @default.
• W2770513052 hasConcept C159149176 @default.
• W2770513052 hasConcept C33923547 @default.
• W2770513052 hasConcept C41008148 @default.
• W2770513052 hasConcept C68781425 @default.
• W2770513052 hasConcept C85617194 @default.
• W2770513052 hasConceptScore W2770513052C105902424 @default.
• W2770513052 hasConceptScore W2770513052C109718341 @default.

• next