Abstract
The acceleration of inexpensive ARM-based computing nodes with high-end CUDA enabled GPGPUs hosted on x86 64 machines using the GVirtuS general-purpose virtualization service is a novel approach to hierarchical parallelism. In this paper we draw the vision of a possible hierarchical remote workload distribution among different devices. Preliminary, but promising, performance evaluation data suggests that the developed technology is suitable for real world applications.
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Acknowledgement
This research was supported in part by the Grant Agreement number: 644312 RAPID H2020-ICT-2014/H2020-ICT-2014-1Heterogeneous Secure Multi-level Remote Acceleration Service for Low-Power Integrated Systems and Devices.
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Montella, R. et al. (2016). Virtualizing CUDA Enabled GPGPUs on ARM Clusters. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. Lecture Notes in Computer Science(), vol 9574. Springer, Cham. https://doi.org/10.1007/978-3-319-32152-3_1
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DOI: https://doi.org/10.1007/978-3-319-32152-3_1
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