Abstract
In this work, we propose an Automatic Performance Tracking System for analyzing the changes in execution performance and finding the source code modifications that cause the degradation of performance portability. The proposed system works in order to support evolving a large-scale numerical application while maintaining its performance portability across multiple target computing systems. By evaluating the performance of an application on every computing system, the proposed system helps application developers find the source code modifications that degrade the execution performance on a computing system. The proposed system also retrieves multiple versions of an application from its code repository, and automatically executes them on a newly added computing system. As a result, application developers are able to analyze how the source code modifications in the past affect the performance on the new computing system. Based on the evaluation results, the application developers can review the source code changes to improve the performance portability of the HPC application through the system.
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Acknowledgements
The authors would like to thank Prof. Shigeta of Osaka University for allowing us to use the application. This work is partially supported by JST CREST “An Evolutionary Approach to Construction of a Software Development Environment for Massively-Parallel Heterogeneous Systems.”
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Hirasawa, S., Takizawa, H., Kobayashi, H. (2016). An Automatic Performance Tracking System for Large-Scale Numerical Applications. In: Resch, M., Bez, W., Focht, E., Patel, N., Kobayashi, H. (eds) Sustained Simulation Performance 2016. Springer, Cham. https://doi.org/10.1007/978-3-319-46735-1_10
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DOI: https://doi.org/10.1007/978-3-319-46735-1_10
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