Abstract
A probabilistic algorithm, PROTEAN, can incorporate multiple sources of uncertain data to estimate the 3-D structure of molecules and also predict a measure of the uncertainty in the estimated structure. Here, a parallel version of the model is presented which demonstrate good speedups on a 32-processor Stanford DASH and the multiprocessor, Silicon Graphics Challenge. An extension to the serial algorithm is also proposed, which enables it to handle a wider class of data. The potential for parallelization of the extended algorithm is discussed.
Original language | English (US) |
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Pages (from-to) | 570-579 |
Number of pages | 10 |
Journal | Proceedings of the ACM/IEEE Supercomputing Conference |
DOIs | |
State | Published - 1994 |
Event | Proceedings of the 1994 Supercomputing Conference - Washington, DC, USA Duration: Nov 14 1994 → Nov 18 1994 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering