A PVM tool for Automatic Test Generation on Parallel and Distributed Systems
International Conference on High-Performance Computing and Networking, Milan (Italy), May 1995, Lecture Notes in Computer Science, Ed. Springer
KEYWORDS: ATPG,
Approximate Methods,
Evolutionary Algorithms,
Gate-Level,
Genetic Algorithms,
Parallel Algorithms,
Simulation-Based Approaches
ABSTRACT
The use of parallel architectures for the solution of CPU and memory critical problems in the Electronic CAD area has been limited up to now by several factor, like the lack of efficient algorithms, the reduced portability of the code, and the cost of hardware. However, portable message-passing libraries are now available, and the same code runs on high-cost supercomputers, as well as on common workstation networks. The paper presents an effective ATPG system for larga sequential circuits developed using the PVM library and based on a Genetic Algorithm. The tool, named GATTO*, runs on a DEC Alpha AXP farm and a CM-5. Expreimental results are provided.
[CPRS95] F. Corno, P. Prinetto, M. Rebaudengo, M. Sonza Reorda, E. Veiluva, "A PVM tool for Automatic Test Generation on Parallel and Distributed Systems," International Conference on High-Performance Computing and Networking, Milan (Italy), May 1995, Lecture Notes in Computer Science, Ed. Springer