Artificial intelligence approach to test vector reordering for dynamic power reduction during VLSI testing

Autor: I. Sen Gupta, Sudip Roy, Ajit Pal
Rok vydání: 2008
Předmět:
Zdroj: TENCON 2008 - 2008 IEEE Region 10 Conference.
DOI: 10.1109/tencon.2008.4766747
Popis: As the feature size is scaled down with process technology advancement, power minimization has become a serious problem for the designers as well as the test engineers. Test vector reordering for dynamic power minimization during combinational circuit testing is a sub-problem of the general goal of low power testing. In this paper we have proposed an AI-based approach to order the test vectors in an optimal manner to minimize switching activity during testing. Empirically, the proposed algorithm yields on an average of about 22% reduction in switching activity over that given by a standard ATPG tool Synopsis TetraMax, which is also more than the reduction after applying existing Chained Lin-Kernighan heuristic.
Databáze: OpenAIRE