ew 16(8): e3

Research Article

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

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  • @ARTICLE{10.4108/eai.24-8-2015.2261105,
        author={Mario Bielert and Florina Ciorba and Kim Feldhoff and Thomas Ilsche and Wolfgang Nagel},
        title={HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms},
        journal={EAI Endorsed Transactions on Energy Web},
        keywords={haec, parallel simulation, discrete event, trace-based modeling, performance modeling, energy modeling},
  • Mario Bielert
    Florina Ciorba
    Kim Feldhoff
    Thomas Ilsche
    Wolfgang Nagel
    Year: 2015
    HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms
    DOI: 10.4108/eai.24-8-2015.2261105
Mario Bielert1,*, Florina Ciorba2, Kim Feldhoff1, Thomas Ilsche1, Wolfgang Nagel1
  • 1: Technische Universitaet Dresden
  • 2: University of Basel
*Contact email: mario.bielert@tu-dresden.de


This work presents a new trace-based parallel discrete event simulation framework designed for predicting the behavior of a novel computing platform running energy-aware parallel applications. Discrete event traces capture the runtime be- havior of parallel applications on existing systems and form the basis for the simulation. The simulation framework pro- cesses the events of the input trace by applying simulation models that modify event properties. Thus, the output are again event traces that describe the predicted application behavior on the simulated target platform. Both input and simulated traces can be visualized and analyzed with estab- lished tools. The modular design of the framework enables the simulation of different aspects such as temporal perfor- mance and energy efficiency by applying distinct simulation models e.g.: (i) A performance model for communication that allows to evaluate the target communication topology and link properties. (ii) An energy model for computations that is based on measurements of current hardware. We showcase the potential of this simulation by simulating the execution of benchmark applications to explore design al- ternatives of highly adaptive and energy-efficient computing applications and platforms.