Scalable parallel and distributed expert database systems with predictive load balancing
Journal of Parallel and Distributed Computing - Special issue on scalability of parallel algorithms and architectures
Issues in the design and control of parallel rule-firing production systems
Journal of Parallel and Distributed Computing
A Theory for Total Exchange in Multidimensional Interconnection Networks
IEEE Transactions on Parallel and Distributed Systems
Parallel and distributed execution of constraint programs
ACM SIGSOFT Software Engineering Notes
Parallel execution of prolog programs: a survey
ACM Transactions on Programming Languages and Systems (TOPLAS)
Modeling Communication Overhead: MPI and MPL Performance on the IBM SP2
IEEE Parallel & Distributed Technology: Systems & Technology
Multiphase Complete Exchange on Paragon, SP2, and CS-2
IEEE Parallel & Distributed Technology: Systems & Technology
Logic-Algebraic Method for a Class of Knowledge Based Systems
EUROCAST '97 Proceedings of the A Selection of Papers from the 6th International Workshop on Computer Aided Systems Theory
Parallel computations for logic-algebraic based expert systems
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Hi-index | 0.00 |
The problems formulated for a class of expert systems with knowledge representation in the form of facts can be solved applying the logic-algebraic (LA) method. Parallel processing of logic-algebraic algorithms addresses issue of data exchange. During so called task composition step the data processed on each processor has to be distributed to all other processors. In the paper we introduce a multiphase data exchange used for information dissemination in LA parallel computations. For the assumed processing system model we derive the analytical formulae for the task composition completion time in balanced and non-balanced data distribution.