Lu, Y.-S.Y.-S.LuYu, S.-J.S.-J.YuYAO-WEN CHANG2021-05-052021-05-0520200738100Xhttps://www.scopus.com/inward/record.url?eid=2-s2.0-85093955391&partnerID=40&md5=e679f81af77fac626d5082b908994b84https://scholars.lib.ntu.edu.tw/handle/123456789/559314As the VLSI technology continues to scale down, combined with increasing demands for large bandwidth and low-power consumption, the optical interconnections with Wavelength Division Multiplexing (WDM) become an attractive alternative for on-chip signal transmission. Previous WDM-aware optical routing works consist of two main drawbacks: they are based mainly on heuristics or restricted integer linear programming to handle optical routing, and the addressed types of transmission loss and WDM overheads are incomplete. As a result, no performance guarantees can be achieved on their WDM clustering results, and/or their computations are too time-consuming. To remedy these disadvantages, we present a polynomial-time provably good WDM-aware clustering algorithm and a new WDM-aware optical routing flow to minimize the transmission loss and the WDM overheads with a significant speedup. The proposed WDM-aware clustering algorithm guarantees to find an optimal solution for 1-, 2-, and 3-path clustering, and has the constant performance bound 3 for most cases of 4-path clustering. Experimental results based on the ISPD 2007 and 2019 contest benchmarks and a real optical design show that our optical router significantly outperforms published works in wirelength, transmission loss, wavelength power, and runtimes. © 2020 IEEE.Computer aided design; Electric load loss; Integer programming; Optical design; Optical flows; Polynomial approximation; Routers; Routing algorithms; Wave transmission; Clustering results; Integer Linear Programming; Low-power consumption; On-chip signals; Optimal solutions; Performance bounds; Performance guarantees; Transmission loss; Clustering algorithmsA provably good wavelength-division-multiplexing-aware clustering algorithm for on-chip optical routingconference paper10.1109/DAC18072.2020.92186372-s2.0-85093955391