To address power limitation issues in dark silicon era for multi-core systems-on-chip and chip multiprocessors, run time task-resource and voltage co-allocation with reconfigurable network-on-chip (NoC) framework for energy efficiency (higher performance/watt) is proposed in this work. Distributed resource managers strategy dynamically reconfigures the voltage/frequency-levels of the NoC links and routers and dynamically power-gates the resources depending on the traffic demands and utilization of the resources. A mapping heuristic, namely MinEnergy, has been proposed to minimize overall chip power and energy hotspots in large-scale NoC. We have formulated the mapping and configuration problem into a linear optimization model for the optimal solution and implemented a state-of-the-art Minimum-Path contiguous mapping for comparisons. Simulations are carried out under real-world benchmarks and platforms to demonstrate the effectiveness and efficiency of the proposed schemes and results show that the energy, power, and performance of the proposed dynamic mapping and configuration solution are significantly better (more than 50%) than those of minimum-path mapping solution, while the energy and power consumption of the proposed solution are more than 90% close to the optimal solution.

解决暗硅时代多核片上系统和片上多处理器的功率限制问题、运行时任务资源和电压协同分配与可重构片上网络 (NoC) 框架的能效（更高性能/瓦特）是在这项工作中提出的。分布式资源管理器策略动态地重新配置 NoC 链路和路由器的电压/频率级别，并根据流量需求和资源利用率动态地对资源进行功率门控。已经提出了一种映射启发式方法，即MinEnergy，以最小化大规模 NoC 中的整体芯片功率和能量热点。我们已将映射和配置问题制定为最优解的线性优化模型，并实现了最先进的最小路径用于比较的连续映射。在真实世界的基准和平台下进行仿真以证明所提出方案的有效性和效率，结果表明所提出的动态映射和配置解决方案的能量、功率和性能明显优于（超过 50%）那些的最小路径映射解决方案，而提出的解决方案的能量和功率消耗是90％以上的接近最优的解决方案。