| EPSRC Reference: |
GR/K64280/01 |
| Title: |
STATISTICAL PARALLELISM FOR TIMELY COMPUTATION |
| Principal Investigator: |
Austin, Professor J |
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| Department: |
Computer Science |
| Organisation: |
University of York |
| Scheme: |
ROPA |
| Starts: |
25 February 1996 |
Ends: |
24 February 1998 |
Value (£): |
90,495
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Summary on Grant Application Form |
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The aim of this research is to investigate a novel computational method called statistical parallelism, developed by the applicant, which allows certain problems to be computed in less time than on standard parallel processors or with greater accuracy than when heuristic methods are used. The computation time is gained at the expense of occasional operational failures, so that in practical terms the user obtains a optimal result, quickly, most of the time. The work aims to examine the properties of the method and to demonstrate its viability through a number of AI search problems.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.york.ac.uk |