A mapping method for multi-process execution on dynamically reconfigurable processors

The multi-process execution in dynamically reconfigurable processors is a technique to enhance throughput by trying to exploit more inherent parallelism of applications. In order to improve the efficiency of the multi-process execution, the paper proposes a systematic method for mapping an application modeled as a Kahn Process Network onto a dynamically reconfigurable processing array. Using real applications, the impact on the performance from different versions mapped onto the Dynamically Reconfigurable Processor (DRP) is evaluated. Evaluation results show that our proposed mapping algorithm achieves the best performance in terms of the throughput and the execution time.