| 2026 | AAAI | SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems. | Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan |
| 2026 | ICS | SmartCap: Coordinated CPU-GPU Power Capping for Performance-Assurance Energy Efficiency. | Zhong Zheng, Xingfu Wu, Valerie E. Taylor, Michael E. Papka, Zhiling Lan |
| 2025 | CCGRID | Evaluating Energy Efficiency of Ai Accelerators Using Two Mlperf Benchmarks. | Farah Ferdaus, Xingfu Wu, Valerie Taylor, Zhiling Lan, Sanjif Shanmugavelu, Venkatram Vishwanath, Michael E. Papka |
| 2025 | JSSPP | More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. | Zhong Zheng, Michael E. Papka, Zhiling Lan |
| 2025 | PADS | Directing PDES and Surrogate Models in Loosely Coupled Hybrid Simulations. | Kevin A. Brown, Elkin Cruz-Camacho, Kazutomo Yoshii, Xin Wang, Zhiling Lan, Christopher D. Carothers, Robert B. Ross |
| 2025 | PADS | CQSim+: Symbiotic Simulation for Multi-Resource Scheduling in High-Performance Computing. | Yash Kurkure, Shambhawi Sharma, Xin Wang, Michael E. Papka, Zhiling Lan |
| 2025 | PADS | Synopsis: MFNetSim: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. | Xin Wang, Kevin A. Brown, Robert B. Ross, Christopher D. Carothers, Zhiling Lan |
| 2025 | PDP | On the Effectiveness of Unified Memory in Multi-GPU Collective Communication. | Riccardo Strina, Ian Di Dio Lavore, Marco D. Santambrogio, Michael E. Papka, Zhiling Lan |
| 2025 | SC | Minimizing Power Waste in Heterogenous Computing via Adaptive Uncore Scaling. | Zhong Zheng, Seyfal Sultanov, Michael E. Papka, Zhiling Lan |
| 2024 | CLUSTER | LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. | Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor |
| 2024 | PADS | Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. | Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu |
| 2023 | MASCOTS | Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. | Boyang Li, Zhiling Lan, Michael E. Papka |
| 2023 | PADS | Hybrid PDES Simulation of HPC Networks Using Zombie Packets. | Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers |
| 2023 | PADS | Workload Interference Prevention with Intelligent Routing and Flexible Job Placement on Dragonfly. | Yao Kang, Xin Wang, Zhiling Lan |
| 2023 | PADS | Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. | Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu |
| 2022 | CLUSTER | MRSch: Multi-Resource Scheduling for HPC. | Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka |
| 2022 | JSSPP | Encoding for Reinforcement Learning Driven Scheduling. | Boyang Li, Yuping Fan, Michael E. Papka, Zhiling Lan |
| 2022 | SC | Study of Workload Interference with Intelligent Routing on Dragonfly. | Yao Kang, Xin Wang, Zhiling Lan |
| 2021 | CLUSTER | A Dynamic Power Capping Library for HPC Applications. | Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor |
| 2021 | HPDC | Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. | Yao Kang, Xin Wang, Zhiling Lan |
| 2019 | HPDC | Scheduling Beyond CPUs for HPC. | Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul |
| 2019 | PADS | Modeling and Analysis of Application Interference on Dragonfly+. | Yao Kang, Xin Wang, Neil McGlohon, Misbah Mubarak, Sudheer Chunduri, Zhiling Lan |
| 2017 | CLUSTER | Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. | Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan |
| 2017 | CLUSTER | Preliminary Interference Study About Job Placement and Routing Algorithms in the Fat-Tree Topology for HPC Applications. | Peixin Qiao, Xin Wang, Xu Yang, Yuping Fan, Zhiling Lan |
| 2017 | CLUSTER | A Preliminary Study of Intra-Application Interference on Dragonfly Network. | Xin Wang, Xu Yang, Misbah Mubarak, Robert B. Ross, Zhiling Lan |
| 2017 | JSSPP | Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. | William E. Allcock, Paul Rich, Yuping Fan, Zhiling Lan |
| 2016 | CLUSTER | Exploring Plan-Based Scheduling for Large-Scale Computing Systems. | Xingwu Zhang, Zhou Zhou, Xu Yang, Zhiling Lan, Jia Wang |
| 2016 | EuroPar | Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. | Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello |
| 2016 | ICPADS | Study of Intra- and Interjob Interference on Torus Networks. | Xu Yang, John Jenkins, Misbah Mubarak, Xin Wang, Robert B. Ross, Zhiling Lan |
| 2016 | SC | A data driven scheduling approach for power management on HPC systems. | Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan |
| 2016 | SC | Watch out for the bully!: job interference study on dragonfly network. | Xu Yang, John Jenkins, Misbah Mubarak, Robert B. Ross, Zhiling Lan |
| 2015 | CLUSTER | Comparison of Vendor Supplied Environmental Data Collection Mechanisms. | Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka |
| 2015 | CLUSTER | I/O-Aware Batch Scheduling for Petascale Computing Systems. | Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan |
| 2015 | HPDC | Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. | Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello |
| 2014 | CLUSTER | Exploring void search for fault detection on extreme scale systems. | Eduardo Berrocal, Li Yu, Sean Wallace, Michael E. Papka, Zhiling Lan |
| 2014 | CLUSTER | Balancing job performance with system performance via locality-aware scheduling on torus-connected systems. | Xu Yang, Zhou Zhou, Wei Tang, Xingwu Zheng, Jia Wang, Zhiling Lan |
| 2013 | CLUSTER | Application power profiling on IBM Blue Gene/Q. | Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka |
| 2013 | JSSPP | Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling. | Zhou Zhou, Zhiling Lan, Wei Tang, Narayan Desai |
| 2013 | SC | Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems. | Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan, Wei Tang, Susan Coghlan, Michael E. Papka |
| 2012 | DSN | Filtering log data: Finding the needles in the Haystack. | Li Yu, Ziming Zheng, Zhiling Lan, Terry R. Jones, Jim M. Brandt, Ann C. Gentile |
| 2012 | SC | Hierarchical task mapping of cell-based AMR cosmology simulations. | Jingjin Wu, Zhiling Lan, Xuanxing Xiong, Nickolay Y. Gnedin, Andrey V. Kravtsov |
| 2011 | CLUSTER | Performance Emulation of Cell-Based AMR Cosmology Simulations. | Jingjin Wu, Roberto E. Gonzlez, Zhiling Lan, Nickolay Y. Gnedin, Andrey V. Kravtsov, Douglas H. Rudd, Yongen Yu |
| 2011 | CLUSTER | Evaluating Performance Impacts of Delayed Failure Repairing on Large-Scale Systems. | Zhou Zhou, Wei Tang, Ziming Zheng, Zhiling Lan, Narayan Desai |
| 2011 | DSN | Practical online failure prediction for Blue Gene/P: Period-based vs event-driven. | Li Yu, Ziming Zheng, Zhiling Lan, Susan Coghlan |
| 2010 | DSN | A practical failure prediction with location and lead time for Blue Gene/P. | Ziming Zheng, Zhiling Lan, Rinku Gupta, Susan Coghlan, Peter H. Beckman |
| 2010 | SC | Automatic and coordinated job recovery for high performance computing. | Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner |
| 2009 | CCGRID | Performance under Failures of DAG-based Parallel Computing. | Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, Bing Xie |
| 2009 | CLUSTER | Fault-aware, utility-based job scheduling on Blue, Gene/P systems. | Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner |
| 2009 | CLUSTER | Reliability-aware scalability models for high performance computing. | Ziming Zheng, Zhiling Lan |
| 2009 | DSN | System log pre-processing to improve failure prediction. | Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Geist |
| 2008 | DSN | A fast restart mechanism for checkpoint/recovery protocols in networked environments. | Yawei Li, Zhiling Lan |
| 2008 | ICPP | Dynamic Meta-Learning for Failure Prediction in Large-Scale Systems: A Case Study. | Jiexing Gu, Ziming Zheng, Zhiling Lan, John White, Eva Hocks, Byung-Hoon Park |
| 2007 | CLUSTER | Anomaly localization in large-scale clusters. | Ziming Zheng, Yawei Li, Zhiling Lan |
| 2007 | ICPP | A Meta-Learning Failure Predictor for Blue Gene/L Systems. | Prashasta Gujrati, Yawei Li, Zhiling Lan, Rajeev Thakur, John White |
| 2007 | ICPP | Fault-Driven Re-Scheduling For Improving System-level Fault Resilience. | Yawei Li, Prashasta Gujrati, Zhiling Lan, Xian-He Sun |
| 2006 | CCGRID | Evaluating Performance and Scalability of Advanced Accelerator Simulations. | Jungmin Lee, Zhiling Lan, James F. Amundson, Panagiotis Spentzouris |
| 2006 | CCGRID | Exploit Failure Prediction for Adaptive Fault-Tolerance in Cluster Computing. | Yawei Li, Zhiling Lan |
| 2006 | SC | Poster reception - Improving fault resilience of high performance applications. | Yawei Li, Zhiling Lan |
| 2005 | CCGRID | A novel workload migration scheme for heterogeneous distributed computing. | Yawei Li, Zhiling Lan |
| 2004 | CIS | A Survey of Load Balancing in Grid Computing. | Yawei Li, Zhiling Lan |
| 2003 | CLUSTER | Performance Analysis of a Large-Scale Cosmology Application on Three Cluster Systems. | Zhiling Lan, Prathibha Deshikachar |
| 2001 | ICPP | Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications. | Zhiling Lan, Valerie E. Taylor, Greg Bryan |
| 2001 | SC | Dynamic load balancing of SAMR applications on distributed systems. | Zhiling Lan, Valerie E. Taylor, Greg Bryan |
| 2000 | HPDC | Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. | Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson |