|Publisher DOI:||10.1145/3323439.3323977||Title:||Multi-objective optimization for the compiler of real-time systems based on flower pollination algorithm||Language:||English||Authors:||Jadhav, Shashank
|Issue Date:||May-2019||Source:||SCOPES '19: Proceedings of the 22nd International Workshop on Software and Compilers for Embedded SystemsMay 2019 Pages 45–48||Abstract (english):||Real-time systems usually face stringent constraints such as execution time, energy consumption, code-size etc. Performing multi-objective optimization at compile time is one way to find approximations over the possible solutions which fulfill these constraints. Flower pollination algorithm (FPA) is a relatively recently proposed metaheuristic algorithm which makes use of the evolutionary characteristics of flower pollination process to find solutions to an optimization problem. In this paper, we propose a theoretical framework for an extension for the WCET-Aware C Compiler (WCC) framework for performing multi-objective optimizations based on the FPA during compile time.||Conference:||22nd International Workshop on Software and Compilers for Embedded Systems, (SCOPES ’19)||URI:||http://hdl.handle.net/11420/2724||DOI:||10.15480/882.2269||ISBN:||978-1-4503-6762-2||Institute:||Eingebettete Systeme E-13||Type:||InProceedings (Aufsatz / Paper einer Konferenz etc.)||Project:||Time, Energy and security Analysis for Multi/Manycore heterogenous PLAtforms - TeamPlay|
|Appears in Collections:||Publications with fulltext|
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