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Model Checking Meets Auto-Tuning of High-Performance Programs

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Logic-Based Program Synthesis and Transformation (LOPSTR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13474))

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Abstract

The paper aims at combining two research areas that traditionally have been disjoint: 1) model checking as used in formal verification, and 2) auto-tuning as used in high-performance computing. Our auto-tuning is an important use case of the general concept of automated algorithm configuration and parameter tuning: we optimize parallel programs by finding the optimal values of the performance-critical program parameters for a particular high-performance architecture and input data size. There are many parameters that influence a program’s performance, such that finding the optimal configuration of these parameters is a hardly manageable task even for experts in high-performance computing. Auto-tuning helps to automate this process; however, it is usually very time-consuming. In this paper, we propose to apply model checking for accelerating auto-tuning by using a counter- example constructed during the verification of the optimality property of the program. We describe a proof-of-concept implementation of our approach for auto-tuning programs written in OpenCL – the standard for programming modern multi-core CPU (Central Processing Units) and many-core GPU (Graphics Processing Units) – using the popular SPIN verifier and its model representation language Promela.

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Acknowledgements

We are grateful to the anonymous referees for their great effort in helping us to improve the paper. Natalia Garanina was supported by the scholarship of DAAD (German Academic Exchange Service). Sergei Gorlatch was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the project Nr. 470527619 (PPP-DL) at the University of Muenster.

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Authors and Affiliations

  1. On Visit at the University of Muenster, Münster, Germany

    Natalia Garanina & Sergey Staroletov

  2. A.P. Ershov Institute of Informatics Systems, Novosibirsk, Russia

    Natalia Garanina

  3. Institute of Automation and Electrometry, Novosibirsk, Russia

    Sergey Staroletov

  4. University of Muenster, Münster, Germany

    Sergei Gorlatch

Authors
  1. Natalia Garanina
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  2. Sergey Staroletov
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  3. Sergei Gorlatch
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Corresponding author

Correspondence to Natalia Garanina .

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Editors and Affiliations

  1. Universitat Politècnica de València, Valencia, Spain

    Alicia Villanueva

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Garanina, N., Staroletov, S., Gorlatch, S. (2022). Model Checking Meets Auto-Tuning of High-Performance Programs. In: Villanueva, A. (eds) Logic-Based Program Synthesis and Transformation. LOPSTR 2022. Lecture Notes in Computer Science, vol 13474. Springer, Cham. https://doi.org/10.1007/978-3-031-16767-6_4

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  • DOI: https://doi.org/10.1007/978-3-031-16767-6_4

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  • Print ISBN: 978-3-031-16766-9

  • Online ISBN: 978-3-031-16767-6

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