[RCAC Workshop] Research Workflow Management: Data, Templates, and Use-cases

Task-based, data-centric throughput computing workflows represent a growing slice of the research computing space. Unlike traditional high-performance computing (HPC), these workflows can be large in volume of tasks and data or even have complex relationships between them. Managing data and workflow definitions requires specific conceptual understanding and technical skills. The use of software tools to manage these workflow steps and data movement is ubiquitous. Domain-specific examples in this category include Bioinformatics, Astronomy, Optimization, Machine Learning and Artificial Intelligence. This lecture will include an overview of the topic, the landscape of tools used in this space, and discussion of the challenges researchers face in managing their workflows.

Registration link: https://purdue.ca1.qualtrics.com/jfe/form/SV_af1VNhe7NurYvpY