At the University of Delaware
We advance core computer science and interdisciplinary research through projects in high-performance computing, machine learning, and AI.
Our ongoing research includes improving drug response prediction models, developing compiler infrastructures, testsuites, and exploring programming models for exascale systems and beyond.
Our group’s research centers on high-performance computing, with a strong focus on directive-based programming models for heterogeneous systems. Our work explores optimizing scientific applications—like plasma/solar/bio/nuclear physics, climate modeling and molecular dynamics—on advanced architectures including NVIDIA and AMD GPUs. We contribute to OpenMP/OpenACC standardization, performance benchmarking on exascale systems, and comparative studies of programming models. Our collaborations span national labs and industry, driving innovation in scalable, portable computing.
We use large scale systems like Frontier, Perlmutter, Aurora and other systems for our research!

This past week, we presented our latest work on NVIDIA’s Blackwell GPU architecture at the International Parallel and Dis...

Professor Sunita Chandrasekaran has been recognized as part of the inaugural SCW75 list by Scientific Computing World, which ce...

Today was a truly special and joyful day as we came together to celebrate the graduation of our students. Following the end of ...