Gateways 2022 Tutorial: Building Portable, Scalable & Reproducible Scientific Workloads for Gateways

Building Portable, Scalable and Reproducible Scientific Workloads across Cloud and HPC for Gateways
Presented by Sean Cleveland, Anagha Jamthe, Steve Black, Joe Stubbs, Joon Chuah and Michael Packard
October 12, 2022

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. This tutorial will also introduce the Tapis UI project that can act as a base level easy to host science gateway.
To access files associated with this tutorial, visit github.com/TAC... or tapis-project.org.
Learn more about other Gateways 2022 tutorials: sciencegateway...