Analysis of cache tuner architectural layouts for multicore embedded systems

Due to the memory hierarchy´s large contribution to a microprocessor´s total power, cache tuning is an ideal method for optimizing overall power consumption in embedded systems. Since most embedded systems are power and area constrained, the hardware and/or software that orchestrate cache tuning - the cache tuner - must not impose significant power and area overhead. Furthermore, as embedded systems increasingly trend towards multicore, inter-core data sharing, communication, and synchronization impose additional cache tuner design complexity, necessitating cross-core cache tuning coordination. In order to minimize cache tuner overhead, cache tuner design must consider these overheads and scalability. Whereas prior work proposes low-overhead cache tuners, scalability to multicore systems requires additional considerations. In this work, we present a low-overhead, scalable cache tuner and extensively evaluate various cache tuner design tradeoffs with respect to power and area for constrained multicore embedded systems. Based on our analysis, we formulate valuable insights and designer-assisted guidelines for modeling scalable and efficient cache tuners that best achieve optimization goals while maintaining power and area constraints.