Optimization of the computational load of a hypercube supercomputer onboard a mobile robot
A combinatorial optimization methodology is developed, which enables the efficient use of hypercube multiprocessors onboard mobile intelligent robots dedicated to time-critical missions. The methodology is implemented in terms of large-scale concurrent algorithms based either on fast simulated annea...
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| Veröffentlicht in: | Appl. Opt.; (United States) 1987-12, Vol.26 (23), p.5007-5014 |
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| container_end_page | 5014 |
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| container_issue | 23 |
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| container_title | Appl. Opt.; (United States) |
| container_volume | 26 |
| creator | Barhen, Jacob Toomarian, N. Protopopescu, V. |
| description | A combinatorial optimization methodology is developed, which enables the efficient use of hypercube multiprocessors onboard mobile intelligent robots dedicated to time-critical missions. The methodology is implemented in terms of large-scale concurrent algorithms based either on fast simulated annealing, or on nonlinear asynchronous neural networks. In particular, analytic expressions are given for the effect of single-neuron perturbations on the systems' configuration energy. Compact neuromorphic data structures are used to model effects such as precedence constraints, processor idling times, and task-schedule overlaps. Results for a typical robot-dynamics benchmark are presented. |
| doi_str_mv | 10.1364/AO.26.005007 |
| format | Article |
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Opt.; (United States)</jtitle><addtitle>Appl Opt</addtitle><date>1987-12-01</date><risdate>1987</risdate><volume>26</volume><issue>23</issue><spage>5007</spage><epage>5014</epage><pages>5007-5014</pages><issn>0003-6935</issn><issn>1559-128X</issn><eissn>1539-4522</eissn><coden>APOPAI</coden><abstract>A combinatorial optimization methodology is developed, which enables the efficient use of hypercube multiprocessors onboard mobile intelligent robots dedicated to time-critical missions. The methodology is implemented in terms of large-scale concurrent algorithms based either on fast simulated annealing, or on nonlinear asynchronous neural networks. In particular, analytic expressions are given for the effect of single-neuron perturbations on the systems' configuration energy. Compact neuromorphic data structures are used to model effects such as precedence constraints, processor idling times, and task-schedule overlaps. 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| fulltext | fulltext |
| identifier | ISSN: 0003-6935 |
| ispartof | Appl. Opt.; (United States), 1987-12, Vol.26 (23), p.5007-5014 |
| issn | 0003-6935 1559-128X 1539-4522 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_733160276 |
| source | NASA Technical Reports Server; Alma/SFX Local Collection; Optica Publishing Group Journals |
| subjects | 990210 - Supercomputers- (1987-1989) ALGORITHMS Applied sciences ARTIFICIAL INTELLIGENCE COMPUTER ARCHITECTURE COMPUTERS Computers, microcomputers Cybernetics DATA-FLOW PROCESSING DIGITAL COMPUTERS EFFICIENCY Electronics Exact sciences and technology GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE Hardware MATHEMATICAL LOGIC OPTIMIZATION PARALLEL PROCESSING PROGRAMMING ROBOTS SUPERCOMPUTERS |
| title | Optimization of the computational load of a hypercube supercomputer onboard a mobile robot |
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