Mapping stream programs onto multicore platforms by local search and genetic algorithm

This paper presents a number of novel metaheuristic approaches that can efficiently map stream graphs on multicores. A stream graph consists of a set of actors performing different functions communicating through edges. Orchestrating stream graphs on multicores can be formulated as an Integer Linear...

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Vydáno v:	Computer languages, systems & structures Ročník 46; s. 182 - 205
Hlavní autoři:	Farhad, S.M., Nayeem, Muhammad Ali, Rahman, Md. Khaledur, Rahman, M. Sohel
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.11.2016
Témata:	Algorithms Compiler optimization Genetic algorithm Genetic algorithms Graphs Heuristic methods Hybrid genetic algorithm Local search operator Mathematical models Metaheuristics Optimization Parallel programming Searching Stream programming Streams Stream programming Hybrid genetic algorithm Local search operator Parallel programming Metaheuristics Genetic algorithm Compiler optimization
ISSN:	1477-8424, 1873-6866
On-line přístup:	Získat plný text
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