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Effects of Parallelism on Blackboard System Scheduling

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Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Architectures & Languages. Pages 15-20.

Abstract

This paper investigates the effects of parallelism on blackboard system scheduling. A parallel blackboard system is described that allows multiple knowledge source instantiations to execute in parallel using a shared-memory blackboard approach. New classes of control knowledge are defined that use information about the relationships between system goals to schedule tasks - this control knowledge is implemented in the DVMT application on a Sequent multiprocessor using BB1-style control heuristics. The usefulness of the heuristics is examined by comparing the effectiveness of problem-solving with and without the heuristics (as a group and individually). Problem solving with the new control knowledge results in increased processor utilization and decreased total execution time.

Keith Decker, Alan Garvey, Marty Humphrey, and Victor R. Lesser. 1991. Effects of Parallelism on Blackboard System Scheduling. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91. IJCAI, 15–20. https://ijcai.org/proceedings/1991/3
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