A load-balanced congestion-aware wireless network-on-chip design for multi-core platforms

Abstract

Integration of hundreds of processors on a chip will become practical thanks to ultra-deep submicron VLSI technology. As wiring delay becomes a bottleneck for a scalable design, on-chip interconnects turn into the critical issues for system performance and reliability. To mitigate long wiring delay impact, wireless on-chip communication infrastructures featuring hybrid mechanisms exploiting both wired and wireless communications have been proposed. By shortening long distance transmission latency and lowering wired network overhead, overall system transfer latency and energy dissipation are improved accordingly. However, unbalanced traffic management reduces the benefit of high speed wireless links so that wired networks also degrade accordingly. To extract the best performance for these hybrid networks, an intelligent congestion-aware router design is needed to balance traffic load and eliminate congestion delay. A sophisticated routing scheme accommodating more throughput and featuring light weight congestion-aware mechanism which uses the number of blocking buffers as a guideline to avoid serious congestion was designed and evaluated. Modified 7-port routers achieve better performance and the proposed routing algorithm successfully eliminates congestion scenarios and efficiently balances traffic loads. This is the first work to exchange congestion information locally and globally to improve network utilization and transmission quality. The experimental results showed significant improvement in transfer latency, network throughput and power efficiency with moderate hardware cost overhead.