Zhiling Lan - RankMe

137 papers A* 1A 26B 10C 23Journal 51Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems. AAAI Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan
2025	J	`jnl`	A Real-Time Digital Twin for Adaptive Scheduling. CoRR Yihe Zhang, Yash Kurkure, Yiheng Tao, Michael E. Papka, Zhiling Lan
2025	—	`conf`	Analyzing a Lifetime of Failures on a Cray XC40 Supercomputer. CUG Kevin A. Brown, Tanwi Mallick, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2025	—	`conf`	CQSim+: Symbiotic Simulation for Multi-Resource Scheduling in High-Performance Computing. SIGSIM-PADS Yash Kurkure, Shambhawi Sharma, Xin Wang, Michael E. Papka, Zhiling Lan
2025	J	`jnl`	Coordinated Power Management on Heterogeneous Systems. CoRR Zhong Zheng, Zhiling Lan, Xingfu Wu, Valerie E. Taylor, Michael E. Papka
2025	—	`conf`	Directing PDES and Surrogate Models in Loosely Coupled Hybrid Simulations. SIGSIM-PADS Kevin A. Brown, Elkin Cruz-Camacho, Kazutomo Yoshii, Xin Wang, Zhiling Lan, Christopher D. Carothers, Robert B. Ross
2025	J	`jnl`	Exploring Uncore Frequency Scaling for Heterogeneous Computing. CoRR Zhong Zheng, Seyfal Sultanov, Michael E. Papka, Zhiling Lan
2025	J	`jnl`	Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs. CoRR Melanie Cornelius, Greg Cross, Shilpika, Matthew T. Dearing, Zhiling Lan
2025	J	`jnl`	Hybrid PDES Simulation of HPC Networks Using Zombie Packets. ACM Trans. Model. Comput. Simul. Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2025	J	`jnl`	Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes. CoRR Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2025	J	`jnl`	MFNetSim: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. ACM Trans. Model. Comput. Simul. Xin Wang, Kevin A. Brown, Robert B. Ross, Christopher D. Carothers, Zhiling Lan
2025	A	`conf`	Minimizing Power Waste in Heterogenous Computing via Adaptive Uncore Scaling. SC Zhong Zheng, Seyfal Sultanov, Michael E. Papka, Zhiling Lan
2025	C	`conf`	More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. JSSPP Zhong Zheng, Michael E. Papka, Zhiling Lan
2025	J	`jnl`	More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. CoRR Zhong Zheng, Michael E. Papka, Zhiling Lan
2025	C	`conf`	On the Effectiveness of Unified Memory in Multi-GPU Collective Communication. PDP Riccardo Strina, Ian Di Dio Lavore, Marco D. Santambrogio, Michael E. Papka, Zhiling Lan
2025	J	`jnl`	Preventing Workload Interference with Intelligent Routing and Flexible Job Placement Strategy on Dragonfly System. ACM Trans. Model. Comput. Simul. Xin Wang, Yao Kang, Zhiling Lan
2025	J	`jnl`	Prompt-Aware Scheduling for Low-Latency LLM Serving. CoRR Yiheng Tao, Yihe Zhang, Matthew T. Dearing, Xin Wang, Yuping Fan, Zhiling Lan
2025	J	`jnl`	SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems. CoRR Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan
2025	—	`conf`	Synopsis: MFNetSim: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. SIGSIM-PADS Xin Wang, Kevin A. Brown, Robert B. Ross, Christopher D. Carothers, Zhiling Lan
2024	J	`jnl`	Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
2024	J	`jnl`	Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. CoRR Boyang Li, Zhiling Lan, Michael E. Papka
2024	—	`conf`	LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CLUSTER Workshops Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024	J	`jnl`	LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024	J	`jnl`	MRSch: Multi-Resource Scheduling for HPC. CoRR Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka
2024	J	`jnl`	Modeling and Analysis of Application Interference on Dragonfly+. CoRR Yao Kang, Xin Wang, Neil McGlohon, Misbah Mubarak, Sudheer Chunduri, Zhiling Lan
2024	—	`conf`	Predictive Modeling of Application Runtime in Dragonfly Systems. DDDAS/Infosymbiotics Pietro Lodi Rizzini, Xin Wang, Kevin A. Brown, Sourav Medya, Zhiling Lan
2024	J	`jnl`	Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. CoRR Yao Kang, Xin Wang, Zhiling Lan
2024	J	`jnl`	Study of Workload Interference with Intelligent Routing on Dragonfly. CoRR Yao Kang, Xin Wang, Zhiling Lan
2024	—	`conf`	Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
2024	J	`jnl`	Union: An Automatic Workload Manager for Accelerating Network Simulation. CoRR Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan
2023	—	`conf`	Hybrid PDES Simulation of HPC Networks Using Zombie Packets. SIGSIM-PADS Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
2023	B	`conf`	Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. MASCOTS Boyang Li, Zhiling Lan, Michael E. Papka
2023	—	`conf`	Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. SIGSIM-PADS Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu
2023	J	`jnl`	Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. Xingfu Wu, Valerie Taylor, Zhiling Lan
2023	—	`conf`	Workload Interference Prevention with Intelligent Routing and Flexible Job Placement on Dragonfly. SIGSIM-PADS Yao Kang, Xin Wang, Zhiling Lan
2022	J	`jnl`	DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. IEEE Trans. Parallel Distributed Syst. Yuping Fan, Boyang Li, Dustin Favorite, Naunidh Singh, John Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
2022	C	`conf`	Encoding for Reinforcement Learning Driven Scheduling. JSSPP Boyang Li, Yuping Fan, Michael E. Papka, Zhiling Lan
2022	A	`conf`	Hybrid Workload Scheduling on HPC Systems. IPDPS Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
2022	C	`conf`	MRSch: Multi-Resource Scheduling for HPC. CLUSTER Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
2022	A	`conf`	Study of Workload Interference with Intelligent Routing on Dragonfly. SC Yao Kang, Xin Wang, Zhiling Lan
2021	C	`conf`	A Dynamic Power Capping Library for HPC Applications. CLUSTER Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor
2021	J	`jnl`	DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling. CoRR Yuping Fan, Zhiling Lan
2021	J	`jnl`	DRAS-CQSim: A reinforcement learning based framework for HPC cluster scheduling. Softw. Impacts Yuping Fan, Zhiling Lan
2021	A	`conf`	Deep Reinforcement Agent for Scheduling in HPC. IPDPS Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
2021	J	`jnl`	Deep Reinforcement Agent for Scheduling in HPC. CoRR Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
2021	J	`jnl`	Hybrid Workload Scheduling on HPC Systems. CoRR Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
2021	—	`conf`	Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC Xingfu Wu, Valerie Taylor, Zhiling Lan
2021	A	`conf`	Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. HPDC Yao Kang, Xin Wang, Zhiling Lan
2020	J	`jnl`	Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR Xingfu Wu, Valerie Taylor, Zhiling Lan
2020	J	`jnl`	Scheduling Beyond CPUs for HPC. CoRR Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
2020	A	`conf`	Union: An Automatic Workload Manager for Accelerating Network Simulation. IPDPS Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan
2019	—	`conf`	Modeling and Analysis of Application Interference on Dragonfly+. SIGSIM-PADS Yao Kang, Xin Wang, Neil McGlohon, Misbah Mubarak, Sudheer Chunduri, Zhiling Lan
2019	A	`conf`	Scheduling Beyond CPUs for HPC. HPDC Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
2018	—	`conf`	Joint Effects of Application Communication Pattern, Job Placement and Network Routing on Fat-Tree Systems. ICPP Workshops Peixin Qiao, Xin Wang, Xu Yang, Yuping Fan, Zhiling Lan
2018	J	`jnl`	System-wide trade-off modeling of performance, power, and resilience on petascale systems. J. Supercomput. Li Yu, Zhou Zhou, Yuping Fan, Michael E. Papka, Zhiling Lan
2018	A	`conf`	Trade-Off Study of Localizing Communication and Balancing Network Traffic on a Dragonfly System. IPDPS Xin Wang, Misbah Mubarak, Xu Yang, Robert B. Ross, Zhiling Lan
2017	C	`conf`	A Preliminary Study of Intra-Application Interference on Dragonfly Network. CLUSTER Xin Wang, Xu Yang, Misbah Mubarak, Robert B. Ross, Zhiling Lan
2017	C	`conf`	Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. JSSPP William E. Allcock, Paul Rich, Yuping Fan, Zhiling Lan
2017	C	`conf`	Preliminary Interference Study About Job Placement and Routing Algorithms in the Fat-Tree Topology for HPC Applications. CLUSTER Peixin Qiao, Xin Wang, Xu Yang, Yuping Fan, Zhiling Lan
2017	J	`jnl`	Topology mapping of irregular parallel applications on torus-connected supercomputers. J. Supercomput. Jingjin Wu, Xuanxing Xiong, Eduardo Berrocal, Jia Wang, Zhiling Lan
2017	J	`jnl`	Toward General Software Level Silent Data Corruption Detection for Parallel Applications. IEEE Trans. Parallel Distributed Syst. Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2017	C	`conf`	Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. CLUSTER Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
2016	J	`jnl`	A Scalable, Non-Parametric Method for Detecting Performance Anomaly in Large Scale Computing. IEEE Trans. Parallel Distributed Syst. Li Yu, Zhiling Lan
2016	A	`conf`	A data driven scheduling approach for power management on HPC systems. SC Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan
2016	J	`jnl`	Application power profiling on IBM Blue Gene/Q. Parallel Comput. Sean Wallace, Zhou Zhou, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka
2016	—	`conf`	Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. Euro-Par Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2016	C	`conf`	Exploring Plan-Based Scheduling for Large-Scale Computing Systems. CLUSTER Xingwu Zhang, Zhou Zhou, Xu Yang, Zhiling Lan, Jia Wang
2016	J	`jnl`	I/O-aware bandwidth allocation for petascale computing systems. Parallel Comput. Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
2016	J	`jnl`	Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation Constraints. IEEE Trans. Parallel Distributed Syst. Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai
2016	B	`conf`	Study of Intra- and Interjob Interference on Torus Networks. ICPADS Xu Yang, John Jenkins, Misbah Mubarak, Xin Wang, Robert B. Ross, Zhiling Lan
2016	A	`conf`	Watch out for the bully!: job interference study on dragonfly network. SC Xu Yang, John Jenkins, Misbah Mubarak, Robert B. Ross, Zhiling Lan
2015	C	`conf`	Comparison of Vendor Supplied Environmental Data Collection Mechanisms. CLUSTER Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka
2015	J	`jnl`	Hierarchical task mapping for parallel applications on supercomputers. J. Supercomput. Jingjin Wu, Xuanxing Xiong, Zhiling Lan
2015	C	`conf`	I/O-Aware Batch Scheduling for Petascale Computing Systems. CLUSTER Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
2015	A	`conf`	Improving Batch Scheduling on Blue Gene/Q by Relaxing 5D Torus Network Allocation Constraints. IPDPS Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai
2015	A	`conf`	Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. HPDC Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
2015	J	`jnl`	Quantitative modeling of power performance tradeoffs on extreme scale systems. J. Parallel Distributed Comput. Li Yu, Zhou Zhou, Sean Wallace, Michael E. Papka, Zhiling Lan
2015	J	`jnl`	Reliability-Aware Speedup Models for Parallel Applications with Coordinated Checkpointing/Restart. IEEE Trans. Computers Ziming Zheng, Li Yu, Zhiling Lan
2015	—	`conf`	Utility-Based Scheduling for Bulk Data Transfers between Distributed Computing Facilities. ICPP Workshops Xin Wang, Wei Tang, Rajkumar Kettimuthu, Zhiling Lan
2014	C	`conf`	Balancing job performance with system performance via locality-aware scheduling on torus-connected systems. CLUSTER Xu Yang, Zhou Zhou, Wei Tang, Xingwu Zheng, Jia Wang, Zhiling Lan
2014	C	`conf`	Exploring void search for fault detection on extreme scale systems. CLUSTER Eduardo Berrocal, Li Yu, Sean Wallace, Michael E. Papka, Zhiling Lan
2013	A	`conf`	A Transparent Collective I/O Implementation. IPDPS Yongen Yu, Jingjin Wu, Zhiling Lan, Douglas H. Rudd, Nickolay Y. Gnedin, Andrey V. Kravtsov
2013	—	`conf`	A scalable, non-parametric anomaly detection framework for Hadoop. CAC Li Yu, Zhiling Lan
2013	C	`conf`	Application power profiling on IBM Blue Gene/Q. CLUSTER Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka
2013	A	`conf`	Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems. SC Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan, Wei Tang, Susan Coghlan, Michael E. Papka
2013	J	`jnl`	Job scheduling with adjusted runtime estimates on production supercomputers. J. Parallel Distributed Comput. Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan
2013	—	`conf`	Measuring Power Consumption on IBM Blue Gene/Q. IPDPS Workshops Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka
2013	J	`jnl`	Multi-domain job coscheduling for leadership computing systems. J. Supercomput. Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan
2013	C	`conf`	Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling. JSSPP Zhou Zhou, Zhiling Lan, Wei Tang, Narayan Desai
2013	J	`jnl`	Toward balanced and sustainable job scheduling for production supercomputers. Parallel Comput. Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai
2012	—	`conf`	3-Dimensional root cause diagnosis via co-analysis. ICAC Ziming Zheng, Li Yu, Zhiling Lan, Terry R. Jones
2012	—	`conf`	Adaptive Metric-Aware Job Scheduling for Production Supercomputers. ICPP Workshops Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai
2012	A	`conf`	Filtering log data: Finding the needles in the Haystack. DSN Li Yu, Ziming Zheng, Zhiling Lan, Terry R. Jones, Jim M. Brandt, Ann C. Gentile
2012	A	`conf`	Hierarchical task mapping of cell-based AMR cosmology simulations. SC Jingjin Wu, Zhiling Lan, Xuanxing Xiong, Nickolay Y. Gnedin, Andrey V. Kravtsov
2012	A	`conf`	Improving Parallel IO Performance of Cell-based AMR Cosmology Applications. IPDPS Yongen Yu, Douglas H. Rudd, Zhiling Lan, Nickolay Y. Gnedin, Andrey V. Kravtsov, Jingjin Wu
2011	A	`conf`	Co-analysis of RAS Log and Job Log on Blue Gene/P. IPDPS Ziming Zheng, Li Yu, Wei Tang, Zhiling Lan, Rinku Gupta, Narayan Desai, Susan Coghlan, Daniel Buettner
2011	C	`conf`	Evaluating Performance Impacts of Delayed Failure Repairing on Large-Scale Systems. CLUSTER Zhou Zhou, Wei Tang, Ziming Zheng, Zhiling Lan, Narayan Desai
2011	J	`jnl`	FREM: A Fast Restart Mechanism for General Checkpoint/Restart. IEEE Trans. Computers Yawei Li, Zhiling Lan
2011	—	`conf`	Improving Job Scheduling on Production Supercomputers. IPDPS Workshops Wei Tang, Zhiling Lan, Narayan Desai
2011	—	`conf`	Job Coscheduling on Coupled High-End Computing Systems. ICPP Workshops Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan
2011	C	`conf`	Performance Emulation of Cell-Based AMR Cosmology Simulations. CLUSTER Jingjin Wu, Roberto E. González, Zhiling Lan, Nickolay Y. Gnedin, Andrey V. Kravtsov, Douglas H. Rudd, Yongen Yu
2011	—	`conf`	Practical online failure prediction for Blue Gene/P: Period-based vs event-driven. DSN Workshops Li Yu, Ziming Zheng, Zhiling Lan, Susan Coghlan
2011	A	`conf`	Reducing Fragmentation on Torus-Connected Supercomputers. IPDPS Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner, Yongen Yu
2010	—	`conf`	A practical failure prediction with location and lead time for Blue Gene/P. DSN Workshops Ziming Zheng, Zhiling Lan, Rinku Gupta, Susan Coghlan, Peter H. Beckman
2010	J	`jnl`	A study of dynamic meta-learning for failure prediction in large-scale systems. J. Parallel Distributed Comput. Zhiling Lan, Jiexing Gu, Ziming Zheng, Rajeev Thakur, Susan Coghlan
2010	A	`conf`	Analyzing and adjusting user runtime estimates to improve job scheduling on the Blue Gene/P. IPDPS Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan
2010	—	`conf`	Automatic and coordinated job recovery for high performance computing. MTAGS@SC Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner
2010	J	`jnl`	Toward Automated Anomaly Identification in Large-Scale Systems. IEEE Trans. Parallel Distributed Syst. Zhiling Lan, Ziming Zheng, Yawei Li
2009	J	`jnl`	Fault-Aware Runtime Strategies for High-Performance Computing. IEEE Trans. Parallel Distributed Syst. Yawei Li, Zhiling Lan, Prashasta Gujrati, Xian-He Sun
2009	C	`conf`	Fault-aware, utility-based job scheduling on Blue, Gene/P systems. CLUSTER Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner
2009	B	`conf`	Performance under Failures of DAG-based Parallel Computing. CCGRID Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, Bing Xie
2009	C	`conf`	Reliability-aware scalability models for high performance computing. CLUSTER Ziming Zheng, Zhiling Lan
2009	A	`conf`	System log pre-processing to improve failure prediction. DSN Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Geist
2008	A	`conf`	A fast restart mechanism for checkpoint/recovery protocols in networked environments. DSN Yawei Li, Zhiling Lan
2008	J	`jnl`	Adaptive Fault Management of Parallel Applications for High-Performance Computing. IEEE Trans. Computers Zhiling Lan, Yawei Li
2008	J	`jnl`	Analytical study of migration-enhanced fault tolerance for long-running applications in IFR systems. Int. J. Parallel Emergent Distributed Syst. Yawei Li, Zhiling Lan
2008	B	`conf`	Dynamic Meta-Learning for Failure Prediction in Large-Scale Systems: A Case Study. ICPP Jiexing Gu, Ziming Zheng, Zhiling Lan, John White, Eva Hocks, Byung-Hoon Park
2008	A	`conf`	Enhancing application robustness through adaptive fault tolerance. IPDPS Zhiling Lan, Yawei Li, Ziming Zheng, Prashasta Gujrati
2007	B	`conf`	A Meta-Learning Failure Predictor for Blue Gene/L Systems. ICPP Prashasta Gujrati, Yawei Li, Zhiling Lan, Rajeev Thakur, John White
2007	C	`conf`	Anomaly localization in large-scale clusters. CLUSTER Ziming Zheng, Yawei Li, Zhiling Lan
2007	B	`conf`	Fault-Driven Re-Scheduling For Improving System-level Fault Resilience. ICPP Yawei Li, Prashasta Gujrati, Zhiling Lan, Xian-He Sun
2006	J	`jnl`	DistDLB: Improving cosmology SAMR simulations on distributed computing systems through hierarchical load balancing. J. Parallel Distributed Comput. Zhiling Lan, Valerie E. Taylor, Yawei Li
2006	B	`conf`	Evaluating Performance and Scalability of Advanced Accelerator Simulations. CCGRID Jungmin Lee, Zhiling Lan, James F. Amundson, Panagiotis Spentzouris
2006	B	`conf`	Exploit Failure Prediction for Adaptive Fault-Tolerance in Cluster Computing. CCGRID Yawei Li, Zhiling Lan
2006	A	`conf`	Poster reception - Improving fault resilience of high performance applications. SC Yawei Li, Zhiling Lan
2005	B	`conf`	A novel workload migration scheme for heterogeneous distributed computing. CCGRID Yawei Li, Zhiling Lan
2004	C	`conf`	A Survey of Load Balancing in Grid Computing. CIS Yawei Li, Zhiling Lan
2004	J	`jnl`	Performance analysis of a large-scale cosmology application on three cluster systems. Int. J. High Perform. Comput. Netw. Zhiling Lan, Prathibha Deshikachar
2003	J	`jnl`	Exploring cosmology applications on distributed environments. Future Gener. Comput. Syst. Zhiling Lan, Valerie E. Taylor, Greg Bryan
2003	C	`conf`	Performance Analysis of a Large-Scale Cosmology Application on Three Cluster Systems. CLUSTER Zhiling Lan, Prathibha Deshikachar
2002	J	`jnl`	A novel dynamic load balancing scheme for parallel systems. J. Parallel Distributed Comput. Zhiling Lan, Valerie E. Taylor, Greg Bryan
2002	J	`jnl`	Dynamic load balancing of SAMR applications on distributed systems. Sci. Program. Zhiling Lan, Valerie E. Taylor, Greg Bryan
2001	—	`conf`	Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. PP Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
2001	B	`conf`	Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications. ICPP Zhiling Lan, Valerie E. Taylor, Greg Bryan
2001	A	`conf`	Dynamic load balancing of SAMR applications on distributed systems. SC Zhiling Lan, Valerie E. Taylor, Greg Bryan
2001	—	`conf`	Prophesy: Automating the Modeling Process. Active Middleware Services Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens
2000	A	`conf`	Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. HPDC Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson