Pei-Hung Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
7
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation. | Le Chen, Nuo Xu, Winson Chen, Bin Lei, Pei-Hung Lin, Dunzhi Zhou, Rajeev Thakur, Caiwen Ding, Ali Jannesari, Chunhua Liao |
| 2026 | EuroPar | Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors. | Ruimin Shi, Maya B. Gokhale, Pei-Hung Lin, Xavier Teruel, Ivy Peng |
| 2025 | EuroPar | ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace. | Ruimin Shi, Gabin Schieffer, Maya B. Gokhale, Pei-Hung Lin, Hiren D. Patel, Ivy Peng |
| 2025 | SC | RISC-V Vectorization Coverage for HPC: A TSVC-Based Analysis. | Hung-Ming Lai, Pei-Hung Lin, Maya B. Gokhale, Ivy Peng, Hiren D. Patel, Jenq-Kuen Lee |
| 2023 | SC | Data Race Detection Using Large Language Models. | Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao |
| 2023 | SC | HPC-GPT: Integrating Large Language Model for High-Performance Computing. | Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto Cerpa, Wan Du |
| 2022 | ECSA | Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. | Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen |
| 2022 | PPoPP | Modeling optimization of stencil computations via domain-level properties. | Brandon Nesterenko, Qing Yi, Pei-Hung Lin, Chunhua Liao, Brandon Runnels |
| 2021 | ICS | Does it matter?: OMPSanitizer: an impact analyzer of reported data races in OpenMP programs. | Wenwen Wang, Pei-Hung Lin |
| 2019 | SC | Preparation and optimization of a diverse workload for a large-scale heterogeneous system. | Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Bjrn Sjgreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Bhme, Jamie A. Bramwell, James M. Brase, Jos R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz |
| 2019 | SC | Exploring Regression of Data Race Detection Tools Using DataRaceBench. | Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin |
| 2019 | SC | Machine Learning Guided Optimal Use of GPU Unified Memory. | Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao |
| 2018 | ISoLA | Runtime and Memory Evaluation of Data Race Detection Tools. | Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin |
| 2018 | SC | Is Data Placement Optimization Still Relevant on Newer GPUs? | Md Abdullah Shahneous Bari, Larisa Stoltzfus, Pei-Hung Lin, Chunhua Liao, Murali Emani, Barbara M. Chapman |
| 2018 | SC | Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. | Larisa Stoltzfus, Murali Emani, Pei-Hung Lin, Chunhua Liao |
| 2018 | SC | Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. | Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar |
| 2017 | SC | DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. | Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin |
| 2017 | SC | Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code. | Markus Schordan, Jan Hckelheim, Pei-Hung Lin, Harshitha Menon |
| 2015 | PPoPP | Supporting multiple accelerators in high-level programming models. | Yonghong Yan, Pei-Hung Lin, Chunhua Liao, Bronis R. de Supinski, Daniel J. Quinlan |
| 2015 | SC | Enhancing domain specific language implementations through ontology. | Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen |
| 2014 | ISoLA | Verification of Polyhedral Optimizations with Constant Loop Bounds in Finite State Space Computations. | Markus Schordan, Pei-Hung Lin, Daniel J. Quinlan, Louis-Nol Pouchet |
| 2014 | PPoPP | Revisiting loop fusion in the polyhedral framework. | Sanyam Mehta, Pei-Hung Lin, Pen-Chung Yew |