License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.WCET.2023.6
URN: urn:nbn:de:0030-drops-184353
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18435/
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Jadhav, Shashank ; Falk, Heiko

Towards Multi-Objective Dynamic SPM Allocation

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OASIcs-WCET-2023-6.pdf (0.6 MB)

Abstract

Most real-time embedded systems are required to fulfill timing constraints while adhering to a limited energy budget. Small ScratchPad Memory (SPM) poses a common hardware constraint on embedded systems. Static SPM allocation techniques are limited by the SPM’s stringent size constraint, which is why this paper proposes a Dynamic SPM Allocation (DSA) model at the compiler level for the dynamic allocation of a program to SPM during runtime. To minimize Worst-Case Execution Time (WCET) and energy objectives, we propose a multi-objective DSA-based optimization. Static SPM allocations might inherently use SPM sub-optimally, while all proposed DSA optimizations are only single-objective. Therefore, this paper is the first step towards a DSA that trades WCET and energy objectives simultaneously. Even with extra DSA overheads, our approach provides better quality solutions than the state-of-the-art multi-objective static SPM allocation and ILP-based single-objective DSA approach.

BibTeX - Entry

@InProceedings{jadhav_et_al:OASIcs.WCET.2023.6,
  author =	{Jadhav, Shashank and Falk, Heiko},
  title =	{{Towards Multi-Objective Dynamic SPM Allocation}},
  booktitle =	{21th International Workshop on Worst-Case Execution Time Analysis (WCET 2023)},
  pages =	{6:1--6:12},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-293-8},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{114},
  editor =	{W\"{a}gemann, Peter},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18435},
  URN =		{urn:nbn:de:0030-drops-184353},
  doi =		{10.4230/OASIcs.WCET.2023.6},
  annote =	{Keywords: Multi-objective optimization, Embedded systems, Compilers, Dynamic SPM allocation, Metaheuristic algorithms}
}

Keywords: Multi-objective optimization, Embedded systems, Compilers, Dynamic SPM allocation, Metaheuristic algorithms
Collection: 21th International Workshop on Worst-Case Execution Time Analysis (WCET 2023)
Issue Date: 2023
Date of publication: 26.07.2023

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