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

Bielert, Mario and Ciorba, Florina M. and Feldhoff, Kim and Ilsche, Thomas and Nagel, Wolfgang E.. (2015) HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms. In: Proceedings of the 8th European Alliance for Innovation (EAI), International Conference on Simulation Tools and Techniques (SimuTools 2015). p. 10.

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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.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > High Performance Computing (Ciorba)
UniBasel Contributors:Ciorba, Florina M.
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:18 May 2018 14:01
Deposited On:28 Aug 2017 11:40

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