Performance of asynchronous algorithms in multi-level data-driven systems
Conference
·
OSTI ID:10192370
Asynchronous algorithms are efficient methods in solving scientific and engineering problems. Much research has been devoted to the study of asynchronous algorithms in different areas. This paper will show asynchronous algorithms applied to logic circuit simulation, communication networks, partial differential equations (PDE) and artificial neural networks, and as well as implementations of these asynchronous algorithms on a special class of multiprocessor systems, namely Multi-level Tagged-token Data-flow (MTD) architectures.
- Research Organization:
- University of Southern California, Los Angeles, CA (United States). Dept. of Electrical Engineering Systems
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- FG03-87ER25043
- OSTI ID:
- 10192370
- Report Number(s):
- CONF-8912178--1; ON: DE94000321
- Country of Publication:
- United States
- Language:
- English
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