Computational Research and Programming Lab
At the University of Delaware
We advance core computer science and interdisciplinary research through projects in high-performance computing, machine learning, and AI.
At the University of Delaware
We advance core computer science and interdisciplinary research through projects in high-performance computing, machine learning, and AI.
CRPLOur 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!
On September 17, 2026, the computer science community lost Dr. Johannes Doerfert - an amazing fun-loving individual, a brilliant compiler engineer, a generous mentor, and, to everyone lucky enough to work beside him, simply one of the best people in the room. Johannes earned his Ph.D. in computer science from Saarland University in Germany in 2018, with a dissertation f...
The Computational Research and Programming Languages (CRPL) group had a strong showing at IEEE Cluster 2026, with three research posters accepted for presentation. Among the three accepted works, the poster presented by Zack Sollenberger, Rahul Patel, and Saieda Ali Z...
This past week, we presented our latest work on NVIDIA’s Blackwell GPU architecture at the International Parallel and Distributed Processing Symposium (IPDPS) in New Orleans. The paper, Microbenchmarking NVIDIA’s Blackwell Architecture, represents a deep dive into the performance characteristics of NVIDIA’s newest accelerator—and the results reveal some genuinely surprising fi...