M. Sc. Kateryna Muts

Fields of Activity

 
  • Multi-Criteria Code Optimization for Embedded Hard Real-Time Systems

Position

Research Assistant

Contact Details

Kateryna Muts

Tel.: +49 (0) 40 42878-3471
Fax: +49 (0) 40 42878-2798
Mail: k.muts@tuhh.de

Building E, Room 3.002
Directions

Consulting hours

  • On appointment

Publications

[176792]
Title: Predicting Worst-Case Execution Times During Multi-Criterial Function Inlining. <em>In Proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science (LOD)</em>
Written by: Kateryna Muts and Heiko Falk
in: October (2021).
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ISBN: 10.1007/978-3-030-95467-3_21
how published: 21-75 MF21a LOD
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Note: kmuts, hfalk, multiopt, ESD, WCC

Abstract: In the domain of hard real-time systems, the Worst-Case Execution Time (WCET) is one of the most important design criteria. Safely and accurately estimating the WCET during a static WCET analysis is computationally demanding because of the involved data flow, control flow, and microarchitecture analyses. This becomes critical in the field of multi-criterial compiler optimizations that trade the WCET with other design objectives. Evolutionary algorithms are typically exploited to solve a multi-objective optimization problem, but they require an extensive evaluation of the objectives to explore the search space of the problem. This paper proposes a method that utilizes machine learning to build a surrogate model in order to quickly predict the WCET instead of costly estimating it using static WCET analysis. We build a prediction model that is independent of the source code and assembly code features, so a compiler can utilize it to perform any compiler-based optimization. We demonstrate the effectiveness of our model on multi-criterial function inlining, where we aim to explore trade-offs between the WCET, code size, and energy consumption at compile time.