| 2025 | SC | HELM: Characterizing Unified Memory Accesses to Improve GPU Performance under Memory Oversubscription. | Nathan Jones, Tyler N. Allen, Rong Ge |
| 2023 | CCS | TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG. | Zhenkai Zhang, Tyler N. Allen, Fan Yao, Xing Gao, Rong Ge |
| 2021 | ICS | FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems. | Thomas Randall, Tyler N. Allen, Rong Ge |
| 2021 | SC | In-depth analyses of unified virtual memory system for GPU accelerated computing. | Tyler N. Allen, Rong Ge |
| 2017 | CLUSTER | CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems. | Pengfei Zou, Tyler N. Allen, Claude H. Davis IV, Xizhou Feng, Rong Ge |
| 2017 | SC | Performance and Energy Usage of Workloads on KNL and Haswell Architectures. | Tyler N. Allen, Christopher S. Daley, Douglas Doerfler, Brian Austin, Nicholas J. Wright |
| 2016 | ETRA | Eye movement synthesis. | Andrew T. Duchowski, Sophie Jrg, Tyler N. Allen, Ioannis Giannopoulos, Krzysztof Krejtz |
| 2016 | SC | Characterizing Power and Performance of GPU Memory Access. | Tyler N. Allen, Rong Ge |