Abstract
This paper describes the DIGITAL Continuous Profiling Infrastructure, a sampling-based profiling system designed to run continuously on production systems. The system supports multiprocessors, works on unmodified executables, and collects profiles for entire systems, including user programs, shared libraries, and the operating system kernel. Samples are collected at a high rate (over 5200 samples/sec per 333-MHz processor), yet with low overhead (1-3% slowdown for most workloads).
Analysis tools supplied with the profiling system use the sample data to produce an accurate accounting, down to the level of pipeline stalls incurred by individual instructions, of where time is being spent. When instructions incur stalls, the tools identify possible reasons, such as cache misses, branch mispredictions, and functional unit contention. The fine-grained instruction-level analysis guides users and automated optimizers to the causes of performance problems and provides important insights for fixing them.
Beginning of paper
Abstract
1. Introduction
2. Related Work
3. Data Analysis Examples
4. Data Collection System
5. Profiling Performance
6. Data Analysis Overview
7. Future Directions
8. Conclusions
Acknowledgements
References