Back To Schedule
Tuesday, September 15 • 4:05pm - 4:35pm
Benchmarking Graphical Models on POWER with Healthcare Applications - Radha Nagarajan, Marshfield Clinic Research Institute & Arghya Kusum Das, University of Wisconsin-Platteville

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.

Graphical models, in particular, that have the ability to validate hypothesized associations from multivariate data and discover novel, undocumented, causal associations have seen increasing applications in healthcare that has witnessed a surge in digitization and adoption of data-driven and evidence-based approaches to assist in decision making. Structure learning algorithms that form the core of graphical modeling and aim to decipher associations between the variables of interest from the given data fall under three broad categories, namely constraint-based, search and score, and hybrid. These computationally intensive algorithms need parallelization across HPC environments for enhanced performance. In this presentation, we will discuss the performance of established structure learning algorithms across POWER9 systems with and without GPUs across large data sets. Our approach will be open-sourced for enhanced transparency and reproducibility and adoption in education and research.

Continue the conversation in Slack


Arghya Kusum Das, Ph.D.

Assistant Professor, University of Wisconsin-Platteville

Radha Nagarajan, Ph.D.

Director, Center for Oral and Systemic Health, Marshfield Clinic Research Institute
Radha Nagarajan, Ph.D. is the Director, Center for Oral and Systemic Health, Marshfield Clinic Research Institute, Marshfield Clinic Health System. He has over 15 years’ experience in leading research and implementation in healthcare analytics at Medical Centers and Health Systems... Read More →

Tuesday September 15, 2020 4:05pm - 4:35pm CDT
Track 5B
  Use Case  HPC
  • See Session Slides yes