The application slowdown model
Lavanya Subramanian, Vivek Seshadri, Arnab Ghosh, Samira Khan, Onur Mutlu · 2015
In a multi-core system, interference at shared resources (such as caches and main memory) slows down applications running on different cores. Accurately estimating the slowdown of each application has several benefits: e.g., it can enable shared resource allocation in a manner that avoids unfair application slowdowns or provides slowdown guarantees. Unfortunately, prior works on estimating slowdowns either lead to inaccurate estimates, do not take into account shared caches, or rely on a priori application knowledge. This severely limits their applicability.