This tutorial will describe how to build container images for HPC workloads with Docker, Singularity, and HPC Container Maker (HPCCM). Best practices including image layering, caching, multi-stage builds, and managing container image size will be covered. HPCCM will be a primary focus, describing how to use this open source tool to generate Dockerfiles and Singularity definition files from a Python recipe.The technical level is beginner / intermediate.
Craig Tierney is a Senior Solution Architect at NVIDIA supporting high performance computing (HPC) and deep learning (DL). His focus includes the architecture of GPU based systems to maximize HPC and DL performance and scalability. Prior to joining NVIDIA, Craig spent over 15 years providing high performance computing architecture and computational science support to NOAA and several other government and educational organizations including DOE, DOD, NASA and Stanford University. Craig holds a Ph.D. in Aerospace Engineering Sciences from the University of Colorado at Boulder.
