Fast modeling of shared caches in multicore systems

  • Authors:
  • David Eklov;David Black-Schaffer;Erik Hagersten

  • Affiliations:
  • Uppsala University, Sweden;Uppsala University, Sweden;Uppsala University, Sweden

  • Venue:
  • Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

This work presents StatCC, a simple and efficient model for estimating the shared cache miss ratios of co-scheduled applications on architectures with a hierarchy of private and shared caches. StatCC leverages the StatStack cache model to estimate the co-scheduled applications' cache miss ratios from their individual memory reuse distance distributions, and a simple performance model that estimates their CPIs based on the shared cache miss ratios. These methods are combined into a system of equations that explicitly models the CPIs in terms of the shared miss ratios and can be solved to determine both. The result is a fast algorithm with a 2% error across the SPEC CPU2006 benchmark suite compared to a simulated in-order processor and a hierarchy of private and shared caches.