A Multi-Objective Decision-Theoretic Exploration Algorithm for Platform-Based Design

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Provided by: edaa
Topic: Hardware
Format: PDF
This paper presents an efficient technique to perform multi-objective design space exploration of a multiprocessor platform. Instead of using semi-random search algorithms (like simulated annealing, tabu search, genetic algorithms, etc.), the authors use the domain knowledge derived from the platform architecture to set-up the exploration as a discrete-space multi-objective Markov Decision Process (MDP). The system walks the design space changing its parameters, performing simulations only when probabilistic information becomes insufficient for a decision.
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