Abstract
This paper describes how to use the Singularity containerization tool in a HPC cluster equipped with GPU accelerators. The application chosen for benchmarking is Tensorflow, the open-source software library for machine learning. The singularity containers built have run into GALILEO HPC cluster at CINECA. A performance comparison between bare metal and container executions is also provided, showing a negligible difference in the number of images computed per second.
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CITATION STYLE
Muscianisi, G., Fiameni, G., & Azab, A. (2019). Singularity GPU Containers Execution on HPC Cluster. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11887 LNCS, pp. 61–68). Springer. https://doi.org/10.1007/978-3-030-34356-9_6
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