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Efficient Memory Management for Modelica Simulations

Authors Michele Scuttari , Nicola Camillucci , Daniele Cattaneo , Federico Terraneo , Giovanni Agosta

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Author Details

Michele Scuttari
  • Politecnico di Milano, Italy
Nicola Camillucci
  • Politecnico di Milano, Italy
Daniele Cattaneo
  • Politecnico di Milano, Italy
Federico Terraneo
  • Politecnico di Milano, Italy
Giovanni Agosta
  • Politecnico di Milano, Italy

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Michele Scuttari, Nicola Camillucci, Daniele Cattaneo, Federico Terraneo, and Giovanni Agosta. Efficient Memory Management for Modelica Simulations. In 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2022). Open Access Series in Informatics (OASIcs), Volume 100, pp. 7:1-7:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/OASIcs.PARMA-DITAM.2022.7

Abstract

The ever increasing usage of simulations in order to produce digital twins of physical systems led to the creation of specialized equation-based modeling languages such as Modelica. However, compilers of such languages often generate code that exploits the garbage collection memory management paradigm, which introduces significant runtime overhead. In this paper we explain how to improve the memory management approach of the automatically generated simulation code. This is achieved by addressing two different aspects. One regards the reduction of the heap memory usage, which is obtained by modifying functions whose resulting arrays could instead be allocated on the stack by the caller. The other aspect regards the possibility of avoiding garbage collection altogether by performing all memory lifetime tracking statically. We implement our approach in a prototype Modelica compiler, achieving an improvement of the memory management overhead of over 10 times compared to a garbage collected solution, and an improvement of 56 times compared to the production-grade compiler OpenModelica.

Subject Classification

ACM Subject Classification
  • Software and its engineering → Compilers
  • Computing methodologies → Modeling and simulation
Keywords
  • Modelica
  • modeling & simulation
  • memory management
  • garbage collection

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