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 (HPDC, 2000)

Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (ICPP, 2001)

Prophesy: Automating the Modeling Process. - Valerie E. Taylor; Xingfu Wu; Jonathan Geisler; Xin Li; Zhiling Lan; Mark Hereld; Ivan R. Judson; Rick L. Stevens (Active Middleware Services, 2001)

Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. - Xingfu Wu; Valerie E. Taylor; Jonathan Geisler; Xin Li; Zhiling Lan; Rick L. Stevens; Mark Hereld; Ivan R. Judson (PP, 2001)

A novel dynamic load balancing scheme for parallel systems. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (J. Parallel Distributed Comput., 2002)

Dynamic load balancing of SAMR applications on distributed systems. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (Sci. Program., 2002)

Exploring cosmology applications on distributed environments. - Zhiling Lan; Valerie E. Taylor; Greg Bryan (Future Gener. Comput. Syst., 2003)

A Survey of Load Balancing in Grid Computing. - Yawei Li; Zhiling Lan (CIS, 2004)

Performance analysis of a large-scale cosmology application on three cluster systems. - Zhiling Lan; Prathibha Deshikachar (Int. J. High Perform. Comput. Netw., 2004)

A novel workload migration scheme for heterogeneous distributed computing. - Yawei Li; Zhiling Lan (CCGRID, 2005)

Evaluating Performance and Scalability of Advanced Accelerator Simulations. - Jungmin Lee; Zhiling Lan; James F. Amundson; Panagiotis Spentzouris (CCGRID, 2006)

Exploit Failure Prediction for Adaptive Fault-Tolerance in Cluster Computing. - Yawei Li; Zhiling Lan (CCGRID, 2006)

Poster reception - Improving fault resilience of high performance applications. - Yawei Li; Zhiling Lan (SC, 2006)

DistDLB: Improving cosmology SAMR simulations on distributed computing systems through hierarchical load balancing. - Zhiling Lan; Valerie E. Taylor; Yawei Li (J. Parallel Distributed Comput., 2006)

Anomaly localization in large-scale clusters. - Ziming Zheng; Yawei Li; Zhiling Lan (CLUSTER, 2007)

A Meta-Learning Failure Predictor for Blue Gene/L Systems. - Prashasta Gujrati; Yawei Li; Zhiling Lan; Rajeev Thakur; John White (ICPP, 2007)

Fault-Driven Re-Scheduling For Improving System-level Fault Resilience. - Yawei Li; Prashasta Gujrati; Zhiling Lan; Xian-He Sun (ICPP, 2007)

A fast restart mechanism for checkpoint/recovery protocols in networked environments. - Yawei Li; Zhiling Lan (DSN, 2008)

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 (ICPP, 2008)

Enhancing application robustness through adaptive fault tolerance. - Zhiling Lan; Yawei Li; Ziming Zheng; Prashasta Gujrati (IPDPS, 2008)

Analytical study of migration-enhanced fault tolerance for long-running applications in IFR systems. - Yawei Li; Zhiling Lan (Int. J. Parallel Emergent Distributed Syst., 2008)

Adaptive Fault Management of Parallel Applications for High-Performance Computing. - Zhiling Lan; Yawei Li (IEEE Trans. Computers, 2008)

Performance under Failures of DAG-based Parallel Computing. - Hui Jin 001; Xian-He Sun; Ziming Zheng; Zhiling Lan; Bing Xie (CCGRID, 2009)

Fault-aware, utility-based job scheduling on Blue, Gene/P systems. - Wei Tang 001; Zhiling Lan; Narayan Desai; Daniel Buettner (CLUSTER, 2009)

Reliability-aware scalability models for high performance computing. - Ziming Zheng; Zhiling Lan (CLUSTER, 2009)

System log pre-processing to improve failure prediction. - Ziming Zheng; Zhiling Lan; Byung-Hoon Park; Al Geist (DSN, 2009)

Fault-Aware Runtime Strategies for High-Performance Computing. - Yawei Li; Zhiling Lan; Prashasta Gujrati; Xian-He Sun (IEEE Trans. Parallel Distributed Syst., 2009)

A practical failure prediction with location and lead time for Blue Gene/P. - Ziming Zheng; Zhiling Lan; Rinku Gupta; Susan Coghlan; Peter H. Beckman (DSN Workshops, 2010)

Analyzing and adjusting user runtime estimates to improve job scheduling on the Blue Gene/P. - Wei Tang 001; Narayan Desai; Daniel Buettner; Zhiling Lan (IPDPS, 2010)

Automatic and coordinated job recovery for high performance computing. - Wei Tang 001; Zhiling Lan; Narayan Desai; Daniel Buettner (MTAGS@SC, 2010)

A study of dynamic meta-learning for failure prediction in large-scale systems. - Zhiling Lan; Jiexing Gu; Ziming Zheng; Rajeev Thakur; Susan Coghlan (J. Parallel Distributed Comput., 2010)

Toward Automated Anomaly Identification in Large-Scale Systems. - Zhiling Lan; Ziming Zheng; Yawei Li (IEEE Trans. Parallel Distributed Syst., 2010)

Performance Emulation of Cell-Based AMR Cosmology Simulations. - Jingjin Wu; Roberto E. González; Zhiling Lan; Nickolay Y. Gnedin; Andrey V. Kravtsov; Douglas H. Rudd; Yongen Yu (CLUSTER, 2011)

Evaluating Performance Impacts of Delayed Failure Repairing on Large-Scale Systems. - Zhou Zhou 006; Wei Tang 001; Ziming Zheng; Zhiling Lan; Narayan Desai (CLUSTER, 2011)

Practical online failure prediction for Blue Gene/P: Period-based vs event-driven. - Li Yu 006; Ziming Zheng; Zhiling Lan; Susan Coghlan (DSN Workshops, 2011)

Job Coscheduling on Coupled High-End Computing Systems. - Wei Tang 001; Narayan Desai; Venkatram Vishwanath; Daniel Buettner; Zhiling Lan (ICPP Workshops, 2011)

Improving Job Scheduling on Production Supercomputers. - Wei Tang 001; Zhiling Lan; Narayan Desai (IPDPS Workshops, 2011)

Reducing Fragmentation on Torus-Connected Supercomputers. - Wei Tang 001; Zhiling Lan; Narayan Desai; Daniel Buettner; Yongen Yu (IPDPS, 2011)

Co-analysis of RAS Log and Job Log on Blue Gene/P. - Ziming Zheng; Li Yu 006; Wei Tang 001; Zhiling Lan; Rinku Gupta; Narayan Desai; Susan Coghlan; Daniel Buettner (IPDPS, 2011)

FREM: A Fast Restart Mechanism for General Checkpoint/Restart. - Yawei Li; Zhiling Lan (IEEE Trans. Computers, 2011)

Filtering log data: Finding the needles in the Haystack. - Li Yu 006; Ziming Zheng; Zhiling Lan; Terry R. Jones; Jim M. Brandt; Ann C. Gentile (DSN, 2012)

3-Dimensional root cause diagnosis via co-analysis. - Ziming Zheng; Li Yu 006; Zhiling Lan; Terry R. Jones (ICAC, 2012)

Adaptive Metric-Aware Job Scheduling for Production Supercomputers. - Wei Tang 001; Dongxu Ren; Zhiling Lan; Narayan Desai (ICPP Workshops, 2012)

Improving Parallel IO Performance of Cell-based AMR Cosmology Applications. - Yongen Yu; Douglas H. Rudd; Zhiling Lan; Nickolay Y. Gnedin; Andrey V. Kravtsov; Jingjin Wu (IPDPS, 2012)

Hierarchical task mapping of cell-based AMR cosmology simulations. - Jingjin Wu; Zhiling Lan; Xuanxing Xiong; Nickolay Y. Gnedin; Andrey V. Kravtsov (SC, 2012)

A scalable, non-parametric anomaly detection framework for Hadoop. - Li Yu 006; Zhiling Lan (CAC, 2013)

Application power profiling on IBM Blue Gene/Q. - Sean Wallace; Venkatram Vishwanath; Susan Coghlan; John R. Tramm; Zhiling Lan; Michael E. Papka (CLUSTER, 2013)

Measuring Power Consumption on IBM Blue Gene/Q. - Sean Wallace; Venkatram Vishwanath; Susan Coghlan; Zhiling Lan; Michael E. Papka (IPDPS Workshops, 2013)

A Transparent Collective I/O Implementation. - Yongen Yu; Jingjin Wu; Zhiling Lan; Douglas H. Rudd; Nickolay Y. Gnedin; Andrey V. Kravtsov (IPDPS, 2013)

Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling. - Zhou Zhou 006; Zhiling Lan; Wei Tang 001; Narayan Desai (JSSPP, 2013)

Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems. - Xu Yang 009; Zhou Zhou 006; Sean Wallace; Zhiling Lan; Wei Tang 001; Susan Coghlan; Michael E. Papka (SC, 2013)

Job scheduling with adjusted runtime estimates on production supercomputers. - Wei Tang 001; Narayan Desai; Daniel Buettner; Zhiling Lan (J. Parallel Distributed Comput., 2013)

Toward balanced and sustainable job scheduling for production supercomputers. - Wei Tang 001; Dongxu Ren; Zhiling Lan; Narayan Desai (Parallel Comput., 2013)

Multi-domain job coscheduling for leadership computing systems. - Wei Tang 001; Narayan Desai; Venkatram Vishwanath; Daniel Buettner; Zhiling Lan (J. Supercomput., 2013)

Exploring void search for fault detection on extreme scale systems. - Eduardo Berrocal; Li Yu 006; Sean Wallace; Michael E. Papka; Zhiling Lan (CLUSTER, 2014)

Balancing job performance with system performance via locality-aware scheduling on torus-connected systems. - Xu Yang 009; Zhou Zhou 006; Wei Tang 001; Xingwu Zheng; Jia Wang; Zhiling Lan (CLUSTER, 2014)

Comparison of Vendor Supplied Environmental Data Collection Mechanisms. - Sean Wallace; Venkatram Vishwanath; Susan Coghlan; Zhiling Lan; Michael E. Papka (CLUSTER, 2015)

I/O-Aware Batch Scheduling for Petascale Computing Systems. - Zhou Zhou 006; Xu Yang 009; Dongfang Zhao 001; Paul Rich; Wei Tang 001; Jia Wang; Zhiling Lan (CLUSTER, 2015)

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 (HPDC, 2015)

Utility-Based Scheduling for Bulk Data Transfers between Distributed Computing Facilities. - Xin Wang 115; Wei Tang 001; Rajkumar Kettimuthu; Zhiling Lan (ICPP Workshops, 2015)

Improving Batch Scheduling on Blue Gene/Q by Relaxing 5D Torus Network Allocation Constraints. - Zhou Zhou 006; Xu Yang 009; Zhiling Lan; Paul Rich; Wei Tang 001; Vitali A. Morozov; Narayan Desai (IPDPS, 2015)

Quantitative modeling of power performance tradeoffs on extreme scale systems. - Li Yu 006; Zhou Zhou 006; Sean Wallace; Michael E. Papka; Zhiling Lan (J. Parallel Distributed Comput., 2015)

Reliability-Aware Speedup Models for Parallel Applications with Coordinated Checkpointing/Restart. - Ziming Zheng; Li Yu 006; Zhiling Lan (IEEE Trans. Computers, 2015)

Hierarchical task mapping for parallel applications on supercomputers. - Jingjin Wu; Xuanxing Xiong; Zhiling Lan (J. Supercomput., 2015)

Exploring Plan-Based Scheduling for Large-Scale Computing Systems. - Xingwu Zhang; Zhou Zhou 006; Xu Yang 009; Zhiling Lan; Jia Wang (CLUSTER, 2016)

Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (Euro-Par, 2016)

Study of Intra- and Interjob Interference on Torus Networks. - Xu Yang 009; John Jenkins; Misbah Mubarak; Xin Wang 115; Robert B. Ross; Zhiling Lan (ICPADS, 2016)

A data driven scheduling approach for power management on HPC systems. - Sean Wallace; Xu Yang 009; Venkatram Vishwanath; William E. Allcock; Susan Coghlan; Michael E. Papka; Zhiling Lan (SC, 2016)

Watch out for the bully!: job interference study on dragonfly network. - Xu Yang 009; John Jenkins; Misbah Mubarak; Robert B. Ross; Zhiling Lan (SC, 2016)

Application power profiling on IBM Blue Gene/Q. - Sean Wallace; Zhou Zhou 006; Venkatram Vishwanath; Susan Coghlan; John R. Tramm; Zhiling Lan; Michael E. Papka (Parallel Comput., 2016)

I/O-aware bandwidth allocation for petascale computing systems. - Zhou Zhou 006; Xu Yang 009; Dongfang Zhao 001; Paul Rich; Wei Tang 001; Jia Wang; Zhiling Lan (Parallel Comput., 2016)

A Scalable, Non-Parametric Method for Detecting Performance Anomaly in Large Scale Computing. - Li Yu 006; Zhiling Lan (IEEE Trans. Parallel Distributed Syst., 2016)

Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation Constraints. - Zhou Zhou 006; Xu Yang 009; Zhiling Lan; Paul Rich; Wei Tang 001; Vitali A. Morozov; Narayan Desai (IEEE Trans. Parallel Distributed Syst., 2016)

Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. - Yuping Fan; Paul Rich; William E. Allcock; Michael E. Papka; Zhiling Lan (CLUSTER, 2017)

Preliminary Interference Study About Job Placement and Routing Algorithms in the Fat-Tree Topology for HPC Applications. - Peixin Qiao; Xin Wang 115; Xu Yang 009; Yuping Fan; Zhiling Lan (CLUSTER, 2017)

A Preliminary Study of Intra-Application Interference on Dragonfly Network. - Xin Wang 115; Xu Yang 009; Misbah Mubarak; Robert B. Ross; Zhiling Lan (CLUSTER, 2017)

Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. - William E. Allcock; Paul Rich; Yuping Fan; Zhiling Lan (JSSPP, 2017)

Topology mapping of irregular parallel applications on torus-connected supercomputers. - Jingjin Wu; Xuanxing Xiong; Eduardo Berrocal; Jia Wang; Zhiling Lan (J. Supercomput., 2017)

Toward General Software Level Silent Data Corruption Detection for Parallel Applications. - Eduardo Berrocal; Leonardo Bautista-Gomez; Sheng Di; Zhiling Lan; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2017)

Joint Effects of Application Communication Pattern, Job Placement and Network Routing on Fat-Tree Systems. - Peixin Qiao; Xin Wang 115; Xu Yang 009; Yuping Fan; Zhiling Lan (ICPP Workshops, 2018)

Trade-Off Study of Localizing Communication and Balancing Network Traffic on a Dragonfly System. - Xin Wang 115; Misbah Mubarak; Xu Yang 009; Robert B. Ross; Zhiling Lan (IPDPS, 2018)

System-wide trade-off modeling of performance, power, and resilience on petascale systems. - Li Yu 006; Zhou Zhou 006; Yuping Fan; Michael E. Papka; Zhiling Lan (J. Supercomput., 2018)

Scheduling Beyond CPUs for HPC. - Yuping Fan; Zhiling Lan; Paul Rich; William E. Allcock; Michael E. Papka; Brian Austin; David Paul (HPDC, 2019)

Modeling and Analysis of Application Interference on Dragonfly+. - Yao Kang; Xin Wang 115; Neil McGlohon; Misbah Mubarak; Sudheer Chunduri; Zhiling Lan (SIGSIM-PADS, 2019)

Union: An Automatic Workload Manager for Accelerating Network Simulation. - Xin Wang 115; Misbah Mubarak; Yao Kang; Robert B. Ross; Zhiling Lan (IPDPS, 2020)

Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. - Xingfu Wu; Valerie Taylor 001; Zhiling Lan (CoRR, 2020)

A Dynamic Power Capping Library for HPC Applications. - Sahil Sharma; Zhiling Lan; Xingfu Wu; Valerie Taylor 001 (CLUSTER, 2021)

Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. - Yao Kang; Xin Wang 115; Zhiling Lan (HPDC, 2021)

Deep Reinforcement Agent for Scheduling in HPC. - Yuping Fan; Zhiling Lan; J. Taylor Childers; Paul Rich; William E. Allcock; Michael E. Papka (IPDPS, 2021)

Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. - Xingfu Wu; Valerie Taylor 001; Zhiling Lan (MCHPC@SC, 2021)

DRAS-CQSim: A reinforcement learning based framework for HPC cluster scheduling. - Yuping Fan; Zhiling Lan (Softw. Impacts, 2021)

MRSch: Multi-Resource Scheduling for HPC. - Boyang Li 018; Yuping Fan; Matthew T. Dearing; Zhiling Lan; Paul Rich; William E. Allcock; Michael E. Papka (CLUSTER, 2022)

Hybrid Workload Scheduling on HPC Systems. - Yuping Fan; Zhiling Lan; Paul Rich; William E. Allcock; Michael E. Papka (IPDPS, 2022)

Encoding for Reinforcement Learning Driven Scheduling. - Boyang Li 018; Yuping Fan; Michael E. Papka; Zhiling Lan (JSSPP, 2022)

Study of Workload Interference with Intelligent Routing on Dragonfly. - Yao Kang; Xin Wang 115; Zhiling Lan (SC, 2022)

DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. - Yuping Fan; Boyang Li 018; Dustin Favorite; Naunidh Singh; John Taylor Childers; Paul Rich; William E. Allcock; Michael E. Papka; Zhiling Lan (IEEE Trans. Parallel Distributed Syst., 2022)

Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. - Boyang Li 018; Zhiling Lan; Michael E. Papka (MASCOTS, 2023)

Workload Interference Prevention with Intelligent Routing and Flexible Job Placement on Dragonfly. - Yao Kang; Xin Wang 115; Zhiling Lan (SIGSIM-PADS, 2023)

Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. - Xiongxiao Xu; Xin Wang 115; Elkin Cruz-Camacho; Christopher D. Carothers; Kevin A. Brown; Robert B. Ross; Zhiling Lan; Kai Shu (SIGSIM-PADS, 2023)

Performance and power modeling and prediction using MuMMI and 10 machine learning methods. - Xingfu Wu; Valerie Taylor 001; Zhiling Lan (Concurr. Comput. Pract. Exp., 2023)

LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. - Matthew T. Dearing; Yiheng Tao; Xingfu Wu; Zhiling Lan; Valerie Taylor 001 (CLUSTER Workshops, 2024)

Predictive Modeling of Application Runtime in Dragonfly Systems. - Pietro Lodi Rizzini; Xin Wang 115; Kevin A. Brown; Sourav Medya; Zhiling Lan (DDDAS/Infosymbiotics, 2024)

Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. - Xiongxiao Xu; Kevin A. Brown; Tanwi Mallick; Xin Wang 115; Elkin Cruz-Camacho; Robert B. Ross; Christopher D. Carothers; Zhiling Lan; Kai Shu (SIGSIM-PADS, 2024)

MRSch: Multi-Resource Scheduling for HPC. - Boyang Li 018; Yuping Fan; Matthew T. Dearing; Zhiling Lan; Paul Richy; William Allcocky; Michael E. Papka (CoRR, 2024)

Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. - Xiongxiao Xu; Yueqing Liang; Baixiang Huang; Zhiling Lan; Kai Shu (CoRR, 2024)

Directing PDES and Surrogate Models in Loosely Coupled Hybrid Simulations. - Kevin A. Brown; Elkin Cruz-Camacho; Kazutomo Yoshii; Xin Wang 115; Zhiling Lan; Christopher D. Carothers; Robert B. Ross (SIGSIM-PADS, 2025)

CQSim+: Symbiotic Simulation for Multi-Resource Scheduling in High-Performance Computing. - Yash Kurkure; Shambhawi Sharma; Xin Wang 115; Michael E. Papka; Zhiling Lan (SIGSIM-PADS, 2025)

Synopsis: MFNetSim: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. - Xin Wang 115; Kevin A. Brown; Robert B. Ross; Christopher D. Carothers; Zhiling Lan (SIGSIM-PADS, 2025)

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 (PDP, 2025)

More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. - Zhong Zheng; Michael E. Papka; Zhiling Lan (CoRR, 2025)

Exploring Uncore Frequency Scaling for Heterogeneous Computing. - Zhong Zheng; Seyfal Sultanov; Michael E. Papka; Zhiling Lan (CoRR, 2025)

Hybrid PDES Simulation of HPC Networks Using Zombie Packets. - Elkin Cruz-Camacho; Kevin A. Brown; Xin Wang 115; Xiongxiao Xu; Kai Shu; Zhiling Lan; Robert B. Ross; Christopher D. Carothers (ACM Trans. Model. Comput. Simul., 2025)

Preventing Workload Interference with Intelligent Routing and Flexible Job Placement Strategy on Dragonfly System. - Xin Wang 115; Yao Kang; Zhiling Lan (ACM Trans. Model. Comput. Simul., 2025)

Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes. - Matthew T. Dearing; Yiheng Tao; Xingfu Wu; Zhiling Lan; Valerie Taylor 001 (CoRR, 2025)

Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs. - Melanie Cornelius; Greg Cross; Shilpika Shilpika; Matthew T. Dearing; Zhiling Lan (CoRR, 2025)

Coordinated Power Management on Heterogeneous Systems. - Zhong Zheng; Zhiling Lan; Xingfu Wu; Valerie E. Taylor; Michael E. Papka (CoRR, 2025)