Now that we have readied the WSL2 environment with Singularity and the relevant CUDA libraries, it’s time to run the sample Keras workflow.
A Tale of Two Systems: Using Containers to Deploy HPC Applications on Supercomputers and Clouds by Sandia National Laboratories
Andrew J. Younge, Kevin Pedretti, Ryan E. Grant, Ron Brightwell
Center for Computing Research Sandia National Laboratories
Our results indicate that Singularity containers operate at native performance when dynamically linking Cray’s MPI libraries on a Cray supercomputer testbed, and that while Amazon EC2 may be useful for initial DevOps and testing, scaling HPC applications better fits supercomputing resources like a Cray.
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Signing the Container The Singularity 3.0 family introduced the ability to create (and manage) PGP keys to sign and verify containers. This provides a trusted method for Singularity users to share containers and ensures a bit-for-bit reproduction of the original...
Create an Account & Authentication Token Now that we have SingularityCE installed in WSL2, and NVIDIA GPU support is enabled, we will create a Singularity Container Services account and configure the local Singularity client, followed by building a remote...