Task migration of DSP application specified with a DFG and implemented with the BSP computing model on a CPU-GPU clusterReport as inadecuate




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1 GIPSA-AGPIG - AGPIG GIPSA-DIS - Département Images et Signal

Abstract : Nowadays computer applications are becoming heavier and require, at the same time, real-time results. The Heterogeneous clusters with their computing power represent a good solution to this request. However, it is possible that during the execution, a computing element of the cluster becomes defaulting, needs maintenance, or that the load needs to be re-balanced. . . In this paper, we propose a migration strategy for relocating the execution of a task to another computing element. In particular, we are interested in remap nodes of Data Flow Graph DFG, representing Digital Signal Processing DSP application, onto heterogeneous CPU-GPU clusters while keeping up the flow of data and minimizing the temporal perturbation. For our approach, we give a lower bound for the flow of data after the migration and, validate it by the real-time construction of visual saliency map from video input.

keyword : BSP computing CPU-GPU cluster DFG DSP application data flow graph task migration visual saliency map Computational modeling Computer architecture Digital signal processing Kernel Mathematical model Runtime





Author: Farouk Mansouri - Sylvain Huet - Vincent Fristot - Dominique Houzet -

Source: https://hal.archives-ouvertes.fr/



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