| 2025 | ACSSC | The Effect of Using Mixed Precision on Performance and Accuracy of GNN Workloads in Scientific ML. | Briana Cervantes, Shirley V. Moore |
| 2025 | ACSSC | Semi-Automatic Compile-Time Math Intrinsic Optimization Using LLVM. | Kristalys Ruiz-Rohena, Christoph Quirin Lauter, Shirley V. Moore |
| 2022 | CLUSTER | High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory. | Daniel F. Puleri, Sayan Roychowdhury, Peter Balogh, John Gounley, Erik W. Draeger, Jeff Ames, Adebayo Adebiyi, Simbarashe Chidyagwai, Benjamn Hernndez, Seyong Lee, Shirley V. Moore, Jeffrey S. Vetter, Amanda Randles |
| 2018 | HPDC | Tuyere: enabling scalable memory workloads for system exploration. | Ivy Bo Peng, Jeffrey S. Vetter, Shirley V. Moore, Seyong Lee |
| 2018 | MASCOTS | Prometheus: Coherent Exploration of Hardware and Software Optimizations Using Aspen. | Mariam Umar, Shirley V. Moore, Jeffrey S. Vetter, Kirk W. Cameron |
| 2016 | ICSE | An evaluation framework for scientific programming productivity: position paper. | W. K. Umayanganie Munipala, Shirley V. Moore |
| 2016 | SC | Code Complexity versus Performance for GPU-accelerated Scientific Applications. | W. K. Umayanganie Munipala, Shirley V. Moore |