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ISSN:2222-7059 (Print);EISSN: 2222-7067 (Online)
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Title : FPGA Placement Optimization using Firefly Algorithm
Author(s) : Subhrapratim Nath, Avik Kumar Chakravarty, Sudipta Ghosh, Subir Kumar Sarkar
Author affiliation : 1Departments of a,bCSE & cECE, Meghnad Saha Institute of Technology, Kolkata 700150, India
2Electronics & Telecommunication Engineering, Jadavpur University, Kolkata 700032, India
Corresponding author img Corresponding author at : Corresponding author img  

Field Programmable Gate Array (FPGA) technology has been surging in popularity across all industries. Digital circuit design using FPGA provides many benefits over previous methods like ASIC implementation. However, the fixed hardware structure of FPGA demands an efficient placement and routing technique for high-performance goals. It has already been demonstrated that metaheuristic algorithms like Particle Swarm Optimization (PSO) can successfully optimize circuit designs for the FPGA placement and routing problem. The limitation of PSO lies in the explosion of particle swarms due to unbounded exploration. This paper proposes the application of Firefly Algorithm (FA) as an alternative and competitive metaheuristic solution for FPGA placement optimization. The design optimization of a single BCD counter circuit is performed by applying the proposed algorithm on Xilinx software generated netlist and the simulation result is compared with the existing PSO based placement techniques aiming at better placement optimization and utilization of FPGA resources.

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DOI : 10.7508/aiem.2017.02.007

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