Now that we have readied the WSL2 environment with Singularity and the relevant CUDA libraries, it’s time to run the sample Keras workflow.
Proceedings of PEARC2017 in New Orleans, LA, USA: Performance Analysis of Applications using Singularity Container on SDSC Comet
Performance Analysis of Applications using Singularity Container on SDSC Comet
Multiple nodes of the Comet supercomputer at the San Diego Supercomputer Center were used to analyse and compare (between Singularity and non-Singularity) performance of resource intensive applications of benchmark codes such as NEURON (a computational neuronal simulation tool), OSU Benchmarks, and Intel MPI Benchmarks (IMB). NEURON software was used to simulate a complex neuronal network model
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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...