article · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1983
VAMOSs:circuit simulation program for a vector computer
Steve Hamm, S.R. Beckerich
Cited by 2Abstract and details only
Abstract
The simulation of circuits having between 2000 and 5000 active devices requires the largest, fastest computer available. Vector computers such as the Cyber 205 and the Cray-1 can give great speed and cost advantage if some trouble is taken to adapt the program to the strengths of the target machine. The program VAMOS (vectorized analysis of MSO) is a DC and time-domain simulator resulting from the successful adaptation of an existing circuit simulator based on SPICE2 to the Cyber 205. A program speedup of 3 to 4 was accomplished through vectorization. Total program performance was uneven due to the difficulty of vectorizing certain code sections. Particularly the matrix solution. Performance of completely vectorized routines was spectacular. 6 references.
Cite this paper
Hamm, S., & Beckerich, S. (1983). VAMOSs:circuit simulation program for a vector computer. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
Hamm, Steve, and S.R. Beckerich. “VAMOSs:circuit simulation program for a vector computer.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), 1983.
Hamm, Steve, and S.R. Beckerich. 1983. “VAMOSs:circuit simulation program for a vector computer.” OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
Hamm, S. and Beckerich, S. (1983) ‘VAMOSs:circuit simulation program for a vector computer’, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
@article{hamm1983vamoss,
title = {{VAMOSs:circuit simulation program for a vector computer}},
author = {Hamm, Steve and Beckerich, S.R.},
journal = {OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)},
year = {1983}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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