Difference between revisions of "Paper:Ispass2013Carlson"
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The proposed multi-threaded application sampling methodology is able to derive an effective sampling strategy for candidate applications using architecture-independent metrics. Using this methodology, large input sets can now be simulated which would otherwise be infeasible, allowing for more accurate conclusions to be made than from studies using scaled-down input sets. Through the use of the proposed methodology, we can simulate less than 10% of the total application runtime in detail. On the SPEComp, NPB and PARSEC benchmarks, running on an 8-core simulated system, we achieve an average absolute error of 3.5%. | The proposed multi-threaded application sampling methodology is able to derive an effective sampling strategy for candidate applications using architecture-independent metrics. Using this methodology, large input sets can now be simulated which would otherwise be infeasible, allowing for more accurate conclusions to be made than from studies using scaled-down input sets. Through the use of the proposed methodology, we can simulate less than 10% of the total application runtime in detail. On the SPEComp, NPB and PARSEC benchmarks, running on an 8-core simulated system, we achieve an average absolute error of 3.5%. | ||
| + | |||
| + | ===Full text=== | ||
| + | [http://www.exascience.com/wp-content/uploads/2013/02/Carlson-Sampled-simulation.pdf Full paper PDF] | ||
| + | |||
| + | ===Bibtex entry=== | ||
| + | <pre>@INPROCEEDINGS{carlson2013ssomta, | ||
| + | author = {Trevor E. Carlson and Wim Heirman and Lieven Eeckhout}, | ||
| + | title = {Sampled Simulation of Multi-Threaded Applications}, | ||
| + | booktitle = {International Symposium on Performance Analysis of Systems and Software (ISPASS)}, | ||
| + | year = {2013}, | ||
| + | month = apr | ||
| + | } | ||
| + | </pre> | ||
Revision as of 02:14, 19 February 2013
Trevor E. Carlson, Wim Heirman, Lieven Eeckhout
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2013)
Abstract
Sampling is a well-known workload reduction technique that allows one to speed up architectural simulation while accurately predicting performance. Previous sampling methods have been shown to accurately predict single-threaded application runtime based on its overall IPC. However, these previous approaches are unsuitable for general multi-threaded applications, for which IPC is not a good proxy for runtime. Additionally, we find that issues such as application periodicity and inter-thread synchronization play a significant role in determining how best to sample these applications.
The proposed multi-threaded application sampling methodology is able to derive an effective sampling strategy for candidate applications using architecture-independent metrics. Using this methodology, large input sets can now be simulated which would otherwise be infeasible, allowing for more accurate conclusions to be made than from studies using scaled-down input sets. Through the use of the proposed methodology, we can simulate less than 10% of the total application runtime in detail. On the SPEComp, NPB and PARSEC benchmarks, running on an 8-core simulated system, we achieve an average absolute error of 3.5%.
Full text
Bibtex entry
@INPROCEEDINGS{carlson2013ssomta,
author = {Trevor E. Carlson and Wim Heirman and Lieven Eeckhout},
title = {Sampled Simulation of Multi-Threaded Applications},
booktitle = {International Symposium on Performance Analysis of Systems and Software (ISPASS)},
year = {2013},
month = apr
}
