Constraint-driven system partitioning
Marisa López‐Vallejo, Jesús Grajal, Juan Carlos López · 2000
This paper describes how optimization techniques can be applied to efficiently solve the constrained co-design problem.This is performed by the formulation of different cost functions which will drive the hardware-software partitioning process.The use of complex cost functions allows us to capture more aspects of the design.Besides, the appropriate formulation of this kind of functions has a great impact on the results that can be obtained regarding both quality and algorithm convergence rate.A strong point of the proposed formulation is its generality.Therefore, it does not depend on the problem and can be easily extended for considering new design constraints.