Reproducible Scientific Workloads across Cloud and HPC for Gateways

This tutorial will focus on providing attendees exposure to cutting-edge technologies for building reproducible, portable and scalable scientific computing workloads, which can be easily run across Cloud and HPC machines. This tutorial will explain how to effectively leverage the NSF-funded Tapis v3 platform, an Application Program Interface (API) for distributed computation. We will include several hands-on exercises, which will enable the attendees to build a complete scientific workflow that can be seamlessly moved to different execution environments, including a small virtual machine and a national-scale supercomputer. Using techniques covered in the tutorial, attendees will be able to easily share their results and analyses with one or more additional users. This tutorial will make use of a specific machine learning image classifier analysis to illustrate the concepts, but the techniques introduced can be applied to a broad class of analyses in virtually any domain of science or engineering