Computational Research and Programming Lab

Our ongoing research includes improving drug response prediction models, developing compiler infrastructures, testsuites, and exploring programming models for exascale systems and beyond.

Additionally, we have also been engaging with interdisciplinary science projects that entail migrating large scientific applications such as MURaM in collaboration with NCAR and Max Planck Solar Society, PhysiCell in collaboration with Indiana University, understanding chemical shift of protein structures in collaboration with UD's Dept. of Chemistry and BioChemistry, migrating minisweep nuclear physics applications to large scale systems, as well as building predictive models for rare diseases using Machine Learning and AI.

With a central focus on advancing science by porting them to directive-based programming models, we facilitate the maintenance of codebases while still benefitting from the potential of large scale computing systems.

We use large scale systems like Frontier, Perlmutter, Aurora and other systems for our research!