Sciweavers

Share
DFT
2009
IEEE

Optimizing Parametric BIST Using Bio-inspired Computing Algorithms

9 years 2 months ago
Optimizing Parametric BIST Using Bio-inspired Computing Algorithms
Optimizing the BIST configuration based on the characteristics of the design under test is a complicated and challenging work for test engineers. Since this problem has multiple optimization factors, trapping in local optimums is very plausible. Therefore, regular computing algorithms cannot efficiently resolve this problem and utilization of some algorithms is required. In this work, by applying genetic algorithm(GA) and particle swarm optimization (PSO)– which are two famous bio-inspired computing algorithms -, reconfiguring an optimum parametric BIST is exercised. These methods are applied to configure a parametric BIST for some ISCAS benchmarks, and the efficiency of the resulted configuration is evaluated by means of Verilog HDL Procedural Language Interface (PLI).Using HDL environment along with bio-inspired algorithms, significant advantages over previous works are obtained.
Nastaran Nemati, Amirhossein Simjour, Amirali Ghof
Added 04 Sep 2010
Updated 04 Sep 2010
Type Conference
Year 2009
Where DFT
Authors Nastaran Nemati, Amirhossein Simjour, Amirali Ghofrani, Zainalabedin Navabi
Comments (0)
books