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Adaptive Mapping for Multiple Applications on Parallel Architectures

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Abstract

We propose a novel adaptive approach capable of handling dynamism of a set of applications on network-on-chip. The applications are subject to throughput or energy consumption constraints. For each application, a set of non-dominated (Pareto) schedules are computed at design-time in the (energy, period, processors) space for different cores topologies. Then, upon the starting or ending of an application, a lightweight adaptive run-time scheduler reconfigures the mapping of the live applications according to the available resources (i.e., the available cores of the network-on-chip). This run-time scheduler selects the best topology for each application and maps them to the network-on-chip using the tetris algorithm. This novel scheduling approach is adaptive, it changes the mapping of applications during their execution, and thus delivers just enough power to achieve applications constraints.
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Dates and versions

hal-01672463 , version 1 (25-12-2017)

Identifiers

  • HAL Id : hal-01672463 , version 1

Cite

Ismail Assayad, Alain Girault. Adaptive Mapping for Multiple Applications on Parallel Architectures. Third International Symposium on Ubiquitous Networking, UNET'17, May 2017, Casablanca, Morocco. ⟨hal-01672463⟩
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