SYSTEM-ON-CHIP DESIGN SPACE EXPLORATION AT SYSTEM LEVEL

The sheer complexity of today's embedded systems forces the designer to start with modeling and simulating system components in the very early design stages. this article presents a multi-objective evolutionary algorithm approach to solve the allocation, binding and scheduling problems of vlsi at system level. from a behavioral description using specification graph, the multi- objective genetic algorithm generates the cheapest and fastest heterogeneous hardware or software architecture. the evaluation of the proposed approach is performed on a video decoder. the experimental results show the efficiency, accuracy and scalability of our approach.