Journal
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Volume 13, Issue 1, Pages 864-874Publisher
ATLANTIS PRESS
DOI: 10.2991/ijcis.d.200617.001
Keywords
Design space exploration (DSE); Multicore architecture; Integer cat swarm optimizatiom
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Funding
- National ICT RD Fund Pakistan [ICTRDF/TRD/2012/65]
- Deanship of Scientific Research at University of Ha'il, Ha'il, Kingdom of Saudi Arabia
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Modern multicore architectures have an ability to allocate optimum system resources for a specific application to have improved energy and throughput balance. The system resources can be optimized automatically by using optimization algorithms. State-of-the-art using optimization algorithm in the field of such architectures has shown promising results in terms of minimized energy consumption through configuration of number of CPU cores, limited cache sizes and operating frequency. We propose, in this work, a Cat Swarm Optimization (CSO) algorithm-based technique, Integer CSO (ICSO) for the design space exploration (DSE) of multicore computer architectures to find improved energy and throughput balance. The proposed integer variant of CSO algorithm demonstrates convergent behavior for all of design space parameters variations. The Pareto front proposed by ICSO is explored by using various SPLASH-2 benchmarks. Results show significant decrease in energy consumption without affecting throughput severely. Simulation results also validate the use of ICSO in DSE for multicore architectures. (C) 2020 The Authors. Published by Atlantis Press SARL.
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