Eye movement synthesis. - Andrew T. Duchowski; Sophie Jörg; Tyler N. Allen; Ioannis Giannopoulos; Krzysztof Krejtz (ETRA, 2016)

Characterizing Power and Performance of GPU Memory Access. - Tyler N. Allen; Rong Ge 002 (E2SC@SC, 2016)

CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems. - Pengfei Zou; Tyler N. Allen; Claude H. Davis IV; Xizhou Feng; Rong Ge 002 (CLUSTER, 2017)

Performance and Energy Usage of Workloads on KNL and Haswell Architectures. - Tyler N. Allen; Christopher S. Daley; Douglas Doerfler; Brian Austin; Nicholas J. Wright (PMBS@SC, 2017)

Slate: Enabling Workload-Aware Efficient Multiprocessing for Modern GPGPUs. - Tyler N. Allen; Xizhou Feng; Rong Ge 002 (IPDPS, 2019)

FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems. - Thomas Randall; Tyler N. Allen; Rong Ge 002 (ICS, 2021)

Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis. - Tyler N. Allen; Rong Ge 002 (IPDPS, 2021)

In-depth analyses of unified virtual memory system for GPU accelerated computing. - Tyler N. Allen; Rong Ge 002 (SC, 2021)

The Case for Cross-Component Power Coordination on Power Bounded Systems. - Rong Ge 002; Xizhou Feng; Tyler N. Allen; Pengfei Zou (IEEE Trans. Parallel Distributed Syst., 2021)

TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG. - Zhenkai Zhang 002; Tyler N. Allen; Fan Yao; Xing Gao 001; Rong Ge 002 (CCS, 2023)

The Paradigm of Power Bounded High-Performance Computing. - Rong Ge 002; Xizhou Feng; Pengfei Zou; Tyler N. Allen (J. Comput. Sci. Technol., 2023)

Fine-grain Quantitative Analysis of Demand Paging in Unified Virtual Memory. - Tyler N. Allen; Bennett Cooper; Rong Ge 002 (ACM Trans. Archit. Code Optim., 2024)