The POWER2 performance monitor
IBM Journal of Research and Development
The SPLASH-2 programs: characterization and methodological considerations
ISCA '95 Proceedings of the 22nd annual international symposium on Computer architecture
The Augmint multiprocessor simulation toolkit for Intel x86 architectures
ICCD '96 Proceedings of the 1996 International Conference on Computer Design, VLSI in Computers and Processors
SIP: Performance Tuning through Source Code Interdependence
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Efficient memory simulation in SimICS
SS '95 Proceedings of the 28th Annual Simulation Symposium
An Interactive Graphical Environment for Code Optimization
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Assessing cache false sharing effects by dynamic binary instrumentation
Proceedings of the Workshop on Binary Instrumentation and Applications
Dynamic cache contention detection in multi-threaded applications
Proceedings of the 7th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
YACO: a user conducted visualization tool for supporting cache optimization
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Optimization-Oriented visualization of cache access behavior
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Proceedings of the 8th ACM European Conference on Computer Systems
Detection of false sharing using machine learning
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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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.