Title
Achieving Flexible Global Reconfiguration in NoCs Using Reconfigurable Rings
Abstract
The communication behaviors in NoCs of chip-multiprocessors exhibit great spatial and temporal variations, which introduce significant challenges for the reconfiguration in NoCs. Existing reconfigurable NoCs are still far from ideal reconfiguration scenarios, in which globally reconfigurable interconnects can be immediately reconfigured to provide bandwidths on demand for varying traffic flows. In this paper, we propose a hybrid NoC architecture that globally reconfigures the ring-based interconnect to adapt to the varying traffic flows with a high flexibility. The ring-based interconnect has the following advantages. First, it includes horizontal rings and vertical rings, which can be dynamically combined or split to provide low-latency channels for heavy traffic flows. Second, each combined ring connects a number of nodes, thereby improving both the utilization of each ring and the probability to reuse previous reconfigurable interconnects. Finally, the reconfiguration algorithm has a linear-time complexity and can be implemented using a low-overhead hardware design, making it possible to achieve a fast reconfiguration in NoCs. The experimental results show that compared to recent reconfigurable NoCs, the proposed NoC architecture can greatly improve the saturation throughput for synthetic traffic patterns, and reduce the packet latency over 40 percent for realistic benchmarks without incurring significant area and power overhead.
Year
DOI
Venue
2020
10.1109/TPDS.2019.2940190
IEEE Transactions on Parallel and Distributed Systems
Keywords
Field
DocType
Mesh networks,Bandwidth,Complexity theory,Machine learning algorithms,Integrated circuit interconnections,Scalability,Heuristic algorithms
Architecture,On demand,Latency (engineering),Reuse,Computer science,Network packet,Communication channel,Interconnection,Control reconfiguration,Distributed computing
Journal
Volume
Issue
ISSN
31
3
1045-9219
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Liang Wang11567158.46
leibo liu2816116.95
Jie Han386366.92
Xiaohang Wang489553.93
shouyi yin557999.95
Shaojun Wei6555102.32