Autotuning in High-Performance Computing Applications

Autotuning refers to the automatic generation of a search space of possible implementations of a computation that are evaluated through models and/or empirical measurement to identify the most desirable implementation. Autotuning has the potential to dramatically improve the performance portability...

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Bibliographic Details
Published in:Proceedings of the IEEE 2018-11, Vol.106 (11), p.2068-2083
Main Authors: Balaprakash, Prasanna, Dongarra, Jack, Gamblin, Todd, Hall, Mary, Hollingsworth, Jeffrey K., Norris, Boyana, Vuduc, Richard
Format: Article
Language:English
Subjects:
Computer architecture
Configuration management
High performance computing
MATHEMATICS AND COMPUTING
Performance enhancement
Performance evaluation
performance tuning programming systems
Portability
Programming
Runtime
Software engineering
Tuning
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Summary:Autotuning refers to the automatic generation of a search space of possible implementations of a computation that are evaluated through models and/or empirical measurement to identify the most desirable implementation. Autotuning has the potential to dramatically improve the performance portability of petascale and exascale applications. To date, autotuning has been used primarily in high-performance applications through tunable libraries or previously tuned application code that is integrated directly into the application. This paper draws on the authors' extensive experience applying autotuning to high-performance applications, describing both successes and future challenges. If autotuning is to be widely used in the HPC community, researchers must address the software engineering challenges, manage configuration overheads, and continue to demonstrate significant performance gains and portability across architectures. In particular, tools that configure the application must be integrated into the application build process so that tuning can be reapplied as the application and target architectures evolve.
ISSN:0018-9219
1558-2256
DOI:10.1109/JPROC.2018.2841200