Title :
The Nittany Genome Project: a genetic algorithm approach to optimize a worst case bitstream for package simulation
Author :
Ulrich, Sean M. ; Wirick, Andrew M. ; De Araujo, Daniel ; Pham, Nam ; Cases, Moises
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
This paper describes the use of a genetic algorithm to optimize short bitstream inputs to produce approximately worst case jitter in package simulation. Theory behind the algorithm and its applicability to a server memory subsystem simulation is summarized. Custom software utilizing this algorithm and an example of its use are presented.
Keywords :
Perl; SPICE; circuit optimisation; circuit simulation; electronics packaging; genetic algorithms; jitter; HSPICE model; Nittany Genome Project; PERL scripting language; custom software; genetic algorithm approach; optimization algorithms; package simulation; server memory subsystem simulation; short bitstream inputs; worst case bitstream; worst case jitter; Bioinformatics; Biological cells; Computational modeling; Computer aided software engineering; Computer simulation; Genetic algorithms; Genetic mutations; Genomics; Jitter; Packaging;
Conference_Titel :
Electrical Performance of Electronic Packaging, 2003
Conference_Location :
Princeton, NJ, USA
Print_ISBN :
0-7803-8128-9
DOI :
10.1109/EPEP.2003.1250055
