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- W2516120760 abstract "This research is done with the purpose of designing a synthesized heuristic method for assigning a set of tasks, which represents a program, to the local memory of a set of autonomous processing elements in a multiprocessing system. In the realtime system, the main objective is to minimize response time by using static task assignment. The static task assignment problem is, in general, a NP-complete. The solution of this problem is modeled as a two-level control problem solver. The top-level control will choose the suitable heuristic method which is adaptive to the problem instance. The bottom-level control will generate a task-to-processor mapping plan which is treated as a constraint satisfaction problem. In the constraint satisfaction approach, the overall goal is a conjunction of subgoals. Each subgoal is to assign one specific task to a certain PE and satisfies the constraints which assure the optimal assignment. Subgoals interact. To manage the interaction in constructing the assignment plan, a modified CR-planning control mechanism is applied for efficiency. A meta-level control static task assignment testbed system (MTAT) is implemented. Through an empirical analysis, the proposed MTAT method demonstrates to perform better than other existing heuristic methods." @default.
- W2516120760 created "2016-09-16" @default.
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- W2516120760 date "1988-06-01" @default.
- W2516120760 modified "2023-09-26" @default.
- W2516120760 title "A heuristic for static task-to-processor assignment using a constraint satisfaction approach" @default.
- W2516120760 hasPublicationYear "1988" @default.
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