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CacheIn: A Toolset for Comprehensive Cache Inspection

  • Jie Tao
  • Wolfgang Karl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3515)

Abstract

Programmers usually rely on cache performance data to optimize their applications towards high runtime cache hit ratio. In this paper, we introduce a software toolset CacheIn, which uses simulation and monitoring to collect comprehensive cache performance data. CacheIn consists of a cache simulator for modeling the cache activities, a cache monitor for gathering different kind of information, and a multilayer software infrastructure for processing the raw monitoring data towards statistical, high-level representations, like histograms and summarized numbers. CacheIn exhibits both the details of traditional software mechanisms and the feasibility of performance counters. Based on a code instrumentor, we have verified CacheIn using standard benchmarks. Initial experimental results show its full functionality in terms of providing accurate, comprehensive, and corse-grained performance data.

Keywords

Memory Reference Cache Line Memory Hierarchy Performance Counter Software Infrastructure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jie Tao
    • 1
  • Wolfgang Karl
    • 1
  1. 1.Institut für Rechnerentwurf und FehlertoleranzUniversität Karlsruhe (TH)KarlsruheGermany

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