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Application Topology Definition and Tasks Mapping for Efficient Use of Heterogeneous Resources

Abstract : Nowadays, high-performance computing (HPC) not only faces challenges to reach computing performance, it also has to take in consideration the energy consumption. In this context, heterogeneous ar-chitectures are expected to tackle this challenge by proposing a mix of HPC and low-power nodes. There is a significant research effort to define methods for exploiting such computing platforms and find a trade-off between computing performance and energy consumption. To this purpose, the topology of the application and the mapping of tasks onto physical resources are of major importance. In this paper we propose an iterative approach based on the exploration of logical topologies and mappings. These solutions are executed onto the heterogeneous platform and evaluated. Based on these results a Pareto front is built, allowing users to select the most relevant configurations of the application according to the current goals and constraints. Experiments have been conducted on a heterogeneous micro-server using a video processing application running on top of a software-distributed shared memory and deployed over a mix of Intel i7 and Arm Cortex A15 processors. Results show that some counterintuitive solutions found by the exploration approach perform better than classical configurations.
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Contributor : Loïc Cudennec <>
Submitted on : Saturday, June 13, 2020 - 11:34:08 AM
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Kods Trabelsi, Loïc Cudennec, Rihab Bennour. Application Topology Definition and Tasks Mapping for Efficient Use of Heterogeneous Resources. Euro-Par 2019: Parallel Processing Workshops, 11997, pp.258-269, 2020, Lecture Notes in Computer Science book series, ⟨10.1007/978-3-030-48340-1_20⟩. ⟨hal-02867074⟩

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