A low-overhead dynamic optimization framework for multicores
Christopher W. Fletcher, Rachael Harding, Omer Khan, Srinivas Devadas · 2012
This paper argues for a "less is more" design philosophy when integrating dynamic optimization into a multicore system. The primary insight is that dynamic optimization is inherently loosely-coupled and can therefore be supported on multicores with very low-overhead by using a Partner core. We exploit this property by designing a dynamic optimizer composed of a two-core partnership that requires a minimal amount of dedicated hardware and is resilient to (a) reducing the Partner core's clock frequency, (b) changing the Partner core's placement on the multicore die and (c) varying the latency of dynamic optimization operations.