Many embedded processor chips aimed at high performance and low power application domains are implemented as multiprocessor System-on-Chip (MPSoC) devices. The multimedia and communication sub-systems of an MPSoC perform some of the most computation intensive and performance critical tasks, and are key determinants of the system-level performance and power consumption. This paper presents an automated technique for synthesizing the system-level memory architecture (both code and data) for the streaming sub-systems of an embedded processor. The experimental results evaluate effectiveness of the proposed technique by synthesizing the system-level memory architecture for benchmark stream processing applications and comparisons against an existing approach.

The network-on-chip (NoC) design problem requires the generation of a power and resource efficient interconnection architecture that can support the communication requirements for the SoC with the desired performance. This paper presents a genetic algorithm-based automated design technique that synthesizes an application specific NoC topology and routes the communication traces on the interconnection network. The technique operates on the system-level floorplan of the system on chip (SoC) and accounts for the power consumption in the physical links and the routers. The design technique solves a multi-objective problem of minimizing the power consumption and the router resources. It generates a Pareto curve of the solution set, such that each point in the curve represents a tradeoff between power consumption and associated number of NoC routers. The performance and quality of solutions produced by the technique are evaluated by experimentation with benchmark applications and comparisons with existing approaches.