Resumen

DIAZ PANDO, Humberto; SEPULVEDA LIMA, Roberto; ROSETE SUAREZ, Alejandro  y  CUENCA ASENSI, Sergio. JPEG encoder hardware software partitioning using stochastic hill climbing optimization technique. Rev cuba cienc informat [online]. 2015, vol.9, n.1, pp. 94-108. ISSN 2227-1899.

Hardware/software partitioning is a key task for embedded system co-design. The goal of this task is to decide which components of an application will be executed in a general purpose processor (software) and which ones on a specific hardware. To support this decision a design space exploration is executed, by the evaluation of several solutions to establish the best trade-off reached. To accomplish this task, metaheuristics algorithms are used by the most proposals; highlighting Genetic Algorithms and Simulated Annealing. Many times this decision is not taken by a comparative study over several algorithms. In this article the application of Stochastic Hill Climbing and Restart Stochastic Hill Climbing for solving the hardware/software partitioning problem is presented. A case study of JPEG encoder is presented. The results show that comparable solutions are reached by those algorithms.

Palabras clave : hardware/software partitioning; JPEG encoder; restart stochastic hill climbing; stochastic hill climbing.

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