An optimal scheduling method for parallel processing system of array architecture

In high-level synthesis for digital signal processing systems of array structured architecture, one of the most important procedures is the scheduling. By taking into account the allocation of operations to processors, it is mandatory to take into account the communication time between processors. In this paper we propose a scheduling method which derives an optimal schedule achieving the minimum iteration period and latency for a given signal processing algorithm on the specified processor array. The scheduling problem is modeled as an integer linear programming and solved by an ILP solver. Furthermore, we improve the scheduling method so that it can be applied to large scale signal processing algorithms without degrading the schedule optimality.