Shortening the marketing cycle of the product and accelerating its development efficiency have become a vital concern in the field of\nembedded system design. Therefore, hardware/software partitioning has become one of the mainstream technologies of embedded\nsystem development since it affects the overall system performance.Given today�s largest requirement for great efficiency necessarily\naccompanied by high speed, our new algorithm presents the best version that can meet such unpreceded levels. In fact, we describe\nin this paper an algorithm that is based on HW/SW partitioning which aims to find the best tradeoff between power and latency\nof a system taking into consideration the dark silicon problem.Moreover, it has been tested and has shown its efficiency compared\nto other existing heuristic well-known algorithms which are Simulated Annealing, Tabu search, and Genetic algorithms.
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