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2017 GTC San Jose

S7177 - Using Containers for GPU-Accelerated Applications

Session Speakers
Session Description

We'll showcase how to leverage GPUs inside Linux containers using NVIDIA-docker. Containerizing GPU applications provides multiple benefits: 1) Developers can have reproducible builds and deploy their software seamlessly. 2) GPU applications can run across heterogeneous OS/driver/toolkit environments with no performance overhead. 3) GPU devices can be isolated and assigned to different users or different tasks. We'll go through the particularities of GPU containers and demonstrate how to use container images, from the most basic NVIDIA CUDAapplication to the most complicated deep learning frameworks. We may also present other containers technologies besides Docker/NVIDIA-docker, for instance the Singularity project from Lawrence Berkeley National Laboratory, if not already covered by other speakers.


Additional Session Information
Intermediate
Talk
Data Center and Cloud Computing Deep Learning and AI HPC and Supercomputing
Cloud Services Software
25 minutes
Session Schedule