NoC adaptive arbitrating policy based on congestion prediction
基于拥塞预测的NoC自适应仲裁方法

Many conventional arbitration policies used in bus-based systems or macro network were not suitable for NoC because of its new features. It was found that congestion was a common phenomenon in NoC communication and posed great impact on the network delay of NoC. This paper proposed a new arbitration policy-GLCA based on global and local congestion prediction to improve the network latency. Experiment results demonstrat that the new policy fits well with NoC. Compared with round robin arbitration policy, average latency per packet and average throughput can be improved by 20.5% and 8% at best, respectively. GLCA always keeps its advantage under different load conditions. In synthesis, the cost of router with GLCA is only larger than that with RR by 25.7% in combinational logic.