文献类型：期刊文献

英文题名：Reconfigurable topology synthesis for application-specific NoC on partially dynamically reconfigurable systems

作者：Huang, Jinglei[1];Xu, Xiaodong[1];Wang, Nan[2];Chen, Song[1]

机构：[1]Univ Sci & Technol China, Dept Elect Sci & Technol, Hefei 230027, Anhui, Peoples R China;[2]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2019

卷号：65

起止页码：331

外文期刊名：INTEGRATION-THE VLSI JOURNAL

收录：;EI(收录号：20181004856204);WOS:【SCI-EXPANDED(收录号:WOS:000474316700030)】；

基金：This work is extended from the paper published in SLIP 2017 [1], and it was supported by the National Natural Science Foundation of China (NSFC) under grant No. 61732020, No. 61674133 and 61404123. The work of N. Wang was supported by the NSFC under grant No. 61604154. The authors would like to thank Information Science Laboratory Center of USTC for the hardware & software services.

语种：英文

外文关键词：Application-specific NoC; Dynamically reconfigurable; Topology synthesis; Temporal partition of communications; Partially dynamically reconfigurable systems

摘要：In this paper, a four-stage method for synthesizing reconfigurable ASNoC topology is proposed for partially dynamically reconfigurable systems, where the topology is reconfigured dynamically at run-time along with the application's execution. Firstly, a simulated annealing based topology-aware integrated optimization framework is proposed to generate the proper schedule and floorplan of task modules. Secondly, based on the schedule and floorplan of task modules, an Integer Linear Programming (ILP)-based method and a heuristic method, are proposed to partition the communication requirements of the application into T time intervals. Thirdly, we explore the proper positions of switches in the floorplan for global communications. Finally, considering the reconfiguration costs between adjacent time intervals, the routing path allocation problem is solved for time intervals in an iterative procedure to generate fine-grained dynamically reconfigurable ASNoC topologies. Experimental results show that, compared to the random partition of communication requirements, the proposed heuristic method and ILP-based method can achieve 5.4% and 10.0% power consumption improvement, respectively. And, the reconfigurable ASNoC can achieve 31.6% power consumption improvement when compared with static ASNoC.