IWMSE '09 Proceedings of the 2009 ICSE Workshop on Multicore Software Engineering
Loaf: a framework and infrastructure for creating online adaptive solutions
Proceedings of the 1st International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era
Understanding stencil code performance on multicore architectures
Proceedings of the 8th ACM International Conference on Computing Frontiers
Phase-based tuning for better utilization of performance-asymmetric multicore processors
CGO '11 Proceedings of the 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization
Phase guided profiling for fast cache modeling
Proceedings of the Tenth International Symposium on Code Generation and Optimization
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Feedback information has proven useful in guiding optimizations in compilers and post-link optimizers. Program performance behavior can change over time and may invalidate the feedback information. Low overhead monitoring can be used to detect such changes, using performance metrics such as CPI. On a loaded SMT system, where other threads are simultaneously activated on the same CPU, the CPI shows large variability. We introduce an efficient monitoring method that is insensitive to other activities in the system and can be safely used to collect program behavior on a loaded SMT system. The overhead of this method is 0.58% with SPECint2000. We also introduce a novel transformation to the program behavior representation, which makes it insensitive to code optimizations and enables a comparison of the program behavior collected in different optimization cycles. This approach opens new opportunities and enables adaptive optimizations on modern SMT architectures.