Zhiling Lan

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 50

Top Venues

Publications

Boyang Li, Zhiling Lan, Michael E. Papka
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. CoRR (2024)
Xiongxiao Xu, Kevin A. Brown, Tanwi Mallick, Xin Wang, Elkin Cruz-Camacho, Robert B. Ross, Christopher D. Carothers, Zhiling Lan, Kai Shu
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS (2024)
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka
MRSch: Multi-Resource Scheduling for HPC. CoRR (2024)
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR (2024)
Yao Kang, Xin Wang, Neil McGlohon, Misbah Mubarak, Sudheer Chunduri, Zhiling Lan
Modeling and Analysis of Application Interference on Dragonfly+. CoRR (2024)
Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan
Union: An Automatic Workload Manager for Accelerating Network Simulation. CoRR (2024)
Yao Kang, Xin Wang, Zhiling Lan
Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. CoRR (2024)
Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR (2024)
Yao Kang, Xin Wang, Zhiling Lan
Study of Workload Interference with Intelligent Routing on Dragonfly. CoRR (2024)
Xiongxiao Xu, Xin Wang, Elkin Cruz-Camacho, Christopher D. Carothers, Kevin A. Brown, Robert B. Ross, Zhiling Lan, Kai Shu
Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. SIGSIM-PADS (2023)
Yao Kang, Xin Wang, Zhiling Lan
Workload Interference Prevention with Intelligent Routing and Flexible Job Placement on Dragonfly. SIGSIM-PADS (2023)
Elkin Cruz-Camacho, Kevin A. Brown, Xin Wang, Xiongxiao Xu, Kai Shu, Zhiling Lan, Robert B. Ross, Christopher D. Carothers
Hybrid PDES Simulation of HPC Networks Using Zombie Packets. SIGSIM-PADS (2023)
Xingfu Wu, Valerie E. Taylor, Zhiling Lan
Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. 35 (15) (2023)
Boyang Li, Zhiling Lan, Michael E. Papka
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. MASCOTS (2023)
Yuping Fan, Boyang Li, Dustin Favorite, Naunidh Singh, John Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Boyang Li, Yuping Fan, Michael E. Papka, Zhiling Lan
Encoding for Reinforcement Learning Driven Scheduling. JSSPP (2022)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
Hybrid Workload Scheduling on HPC Systems. IPDPS (2022)
Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
MRSch: Multi-Resource Scheduling for HPC. CLUSTER (2022)
Yao Kang, Xin Wang, Zhiling Lan
Study of Workload Interference with Intelligent Routing on Dragonfly. SC (2022)
Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
Hybrid Workload Scheduling on HPC Systems. CoRR (2021)
Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
Deep Reinforcement Agent for Scheduling in HPC. IPDPS (2021)
Yuping Fan, Zhiling Lan
DRAS-CQSim: A reinforcement learning based framework for HPC cluster scheduling. Softw. Impacts 8 (2021)
Yao Kang, Xin Wang, Zhiling Lan
Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. HPDC (2021)
Xingfu Wu, Valerie E. Taylor, Zhiling Lan
Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC (2021)
Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor
A Dynamic Power Capping Library for HPC Applications. CLUSTER (2021)
Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka
Deep Reinforcement Agent for Scheduling in HPC. CoRR (2021)
Yuping Fan, Zhiling Lan
DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling. CoRR (2021)
Xingfu Wu, Valerie E. Taylor, Zhiling Lan
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR (2020)
Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan
Union: An Automatic Workload Manager for Accelerating Network Simulation. IPDPS (2020)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
Scheduling Beyond CPUs for HPC. CoRR (2020)
Yao Kang, Xin Wang, Neil McGlohon, Misbah Mubarak, Sudheer Chunduri, Zhiling Lan
Modeling and Analysis of Application Interference on Dragonfly+. SIGSIM-PADS (2019)
Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
Scheduling Beyond CPUs for HPC. HPDC (2019)
Li Yu, Zhou Zhou, Yuping Fan, Michael E. Papka, Zhiling Lan
System-wide trade-off modeling of performance, power, and resilience on petascale systems. J. Supercomput. 74 (7) (2018)
Peixin Qiao, Xin Wang, Xu Yang, Yuping Fan, Zhiling Lan
Joint Effects of Application Communication Pattern, Job Placement and Network Routing on Fat-Tree Systems. ICPP Workshops (2018)
Xin Wang, Misbah Mubarak, Xu Yang, Robert B. Ross, Zhiling Lan
Trade-Off Study of Localizing Communication and Balancing Network Traffic on a Dragonfly System. IPDPS (2018)
Jingjin Wu, Xuanxing Xiong, Eduardo Berrocal, Jia Wang, Zhiling Lan
Topology mapping of irregular parallel applications on torus-connected supercomputers. J. Supercomput. 73 (4) (2017)
Xin Wang, Xu Yang, Misbah Mubarak, Robert B. Ross, Zhiling Lan
A Preliminary Study of Intra-Application Interference on Dragonfly Network. CLUSTER (2017)
William E. Allcock, Paul Rich, Yuping Fan, Zhiling Lan
Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. JSSPP (2017)
Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan
Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. CLUSTER (2017)
Peixin Qiao, Xin Wang, Xu Yang, Yuping Fan, Zhiling Lan
Preliminary Interference Study About Job Placement and Routing Algorithms in the Fat-Tree Topology for HPC Applications. CLUSTER (2017)
Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
Toward General Software Level Silent Data Corruption Detection for Parallel Applications. IEEE Trans. Parallel Distributed Syst. 28 (12) (2017)
Xu Yang, John Jenkins, Misbah Mubarak, Robert B. Ross, Zhiling Lan
Watch out for the bully!: job interference study on dragonfly network. SC (2016)
Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
I/O-aware bandwidth allocation for petascale computing systems. Parallel Comput. 58 (2016)
Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications. Euro-Par (2016)
Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan
A data driven scheduling approach for power management on HPC systems. SC (2016)
Xingwu Zhang, Zhou Zhou, Xu Yang, Zhiling Lan, Jia Wang
Exploring Plan-Based Scheduling for Large-Scale Computing Systems. CLUSTER (2016)
Xu Yang, John Jenkins, Misbah Mubarak, Xin Wang, Robert B. Ross, Zhiling Lan
Study of Intra- and Interjob Interference on Torus Networks. ICPADS (2016)
Li Yu, Zhiling Lan
A Scalable, Non-Parametric Method for Detecting Performance Anomaly in Large Scale Computing. IEEE Trans. Parallel Distributed Syst. 27 (7) (2016)
Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai
Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation Constraints. IEEE Trans. Parallel Distributed Syst. 27 (11) (2016)
Sean Wallace, Zhou Zhou, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka
Application power profiling on IBM Blue Gene/Q. Parallel Comput. 57 (2016)
Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai
Improving Batch Scheduling on Blue Gene/Q by Relaxing 5D Torus Network Allocation Constraints. IPDPS (2015)
Eduardo Berrocal, Leonardo Arturo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications. HPDC (2015)
Ziming Zheng, Li Yu, Zhiling Lan
Reliability-Aware Speedup Models for Parallel Applications with Coordinated Checkpointing/Restart. IEEE Trans. Computers 64 (5) (2015)
Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
I/O-Aware Batch Scheduling for Petascale Computing Systems. CLUSTER (2015)
Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka
Comparison of Vendor Supplied Environmental Data Collection Mechanisms. CLUSTER (2015)
Jingjin Wu, Xuanxing Xiong, Zhiling Lan
Hierarchical task mapping for parallel applications on supercomputers. J. Supercomput. 71 (5) (2015)
Xin Wang, Wei Tang, Rajkumar Kettimuthu, Zhiling Lan
Utility-Based Scheduling for Bulk Data Transfers between Distributed Computing Facilities. ICPP Workshops (2015)
Li Yu, Zhou Zhou, Sean Wallace, Michael E. Papka, Zhiling Lan
Quantitative modeling of power performance tradeoffs on extreme scale systems. J. Parallel Distributed Comput. 84 (2015)
Eduardo Berrocal, Li Yu, Sean Wallace, Michael E. Papka, Zhiling Lan
Exploring void search for fault detection on extreme scale systems. CLUSTER (2014)
Xu Yang, Zhou Zhou, Wei Tang, Xingwu Zheng, Jia Wang, Zhiling Lan
Balancing job performance with system performance via locality-aware scheduling on torus-connected systems. CLUSTER (2014)
Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan, Wei Tang, Susan Coghlan, Michael E. Papka
Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems. SC (2013)
Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan
Multi-domain job coscheduling for leadership computing systems. J. Supercomput. 63 (2) (2013)
Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka
Application power profiling on IBM Blue Gene/Q. CLUSTER (2013)
Yongen Yu, Jingjin Wu, Zhiling Lan, Douglas H. Rudd, Nickolay Y. Gnedin, Andrey V. Kravtsov
A Transparent Collective I/O Implementation. IPDPS (2013)
Zhou Zhou, Zhiling Lan, Wei Tang, Narayan Desai
Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling. JSSPP (2013)
Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka
Measuring Power Consumption on IBM Blue Gene/Q. IPDPS Workshops (2013)
Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai
Toward balanced and sustainable job scheduling for production supercomputers. Parallel Comput. 39 (12) (2013)
Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan
Job scheduling with adjusted runtime estimates on production supercomputers. J. Parallel Distributed Comput. 73 (7) (2013)
Li Yu, Zhiling Lan
A scalable, non-parametric anomaly detection framework for Hadoop. CAC (2013)
Li Yu, Ziming Zheng, Zhiling Lan, Terry Jones, Jim M. Brandt, Ann C. Gentile
Filtering log data: Finding the needles in the Haystack. DSN (2012)
Ziming Zheng, Li Yu, Zhiling Lan, Terry Jones
3-Dimensional root cause diagnosis via co-analysis. ICAC (2012)
Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai
Adaptive Metric-Aware Job Scheduling for Production Supercomputers. ICPP Workshops (2012)
Yongen Yu, Douglas H. Rudd, Zhiling Lan, Nickolay Y. Gnedin, Andrey V. Kravtsov, Jingjin Wu
Improving Parallel IO Performance of Cell-based AMR Cosmology Applications. IPDPS (2012)
Jingjin Wu, Zhiling Lan, Xuanxing Xiong, Nickolay Y. Gnedin, Andrey V. Kravtsov
Hierarchical task mapping of cell-based AMR cosmology simulations. SC (2012)
Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan
Job Coscheduling on Coupled High-End Computing Systems. ICPP Workshops (2011)
Zhou Zhou, Wei Tang, Ziming Zheng, Zhiling Lan, Narayan Desai
Evaluating Performance Impacts of Delayed Failure Repairing on Large-Scale Systems. CLUSTER (2011)
Li Yu, Ziming Zheng, Zhiling Lan, Susan Coghlan
Practical online failure prediction for Blue Gene/P: Period-based vs event-driven. DSN Workshops (2011)
Wei Tang, Zhiling Lan, Narayan Desai
Improving Job Scheduling on Production Supercomputers. IPDPS Workshops (2011)
Yawei Li, Zhiling Lan
FREM: A Fast Restart Mechanism for General Checkpoint/Restart. IEEE Trans. Computers 60 (5) (2011)
Jingjin Wu, Roberto E. González, Zhiling Lan, Nickolay Y. Gnedin, Andrey V. Kravtsov, Douglas H. Rudd, Yongen Yu
Performance Emulation of Cell-Based AMR Cosmology Simulations. CLUSTER (2011)
Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner, Yongen Yu
Reducing Fragmentation on Torus-Connected Supercomputers. IPDPS (2011)
Ziming Zheng, Li Yu, Wei Tang, Zhiling Lan, Rinku Gupta, Narayan Desai, Susan Coghlan, Daniel Buettner
Co-analysis of RAS Log and Job Log on Blue Gene/P. IPDPS (2011)
Zhiling Lan, Jiexing Gu, Ziming Zheng, Rajeev Thakur, Susan Coghlan
A study of dynamic meta-learning for failure prediction in large-scale systems. J. Parallel Distributed Comput. 70 (6) (2010)
Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan
Analyzing and adjusting user runtime estimates to improve job scheduling on the Blue Gene/P. IPDPS (2010)
Ziming Zheng, Zhiling Lan, Rinku Gupta, Susan Coghlan, Peter H. Beckman
A practical failure prediction with location and lead time for Blue Gene/P. DSN Workshops (2010)
Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner
Automatic and coordinated job recovery for high performance computing. MTAGS@SC (2010)
Zhiling Lan, Ziming Zheng, Yawei Li
Toward Automated Anomaly Identification in Large-Scale Systems. IEEE Trans. Parallel Distributed Syst. 21 (2) (2010)
Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, Bing Xie
Performance under Failures of DAG-based Parallel Computing. CCGRID (2009)
Yawei Li, Zhiling Lan, Prashasta Gujrati, Xian-He Sun
Fault-Aware Runtime Strategies for High-Performance Computing. IEEE Trans. Parallel Distributed Syst. 20 (4) (2009)
Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner
Fault-aware, utility-based job scheduling on Blue, Gene/P systems. CLUSTER (2009)
Ziming Zheng, Zhiling Lan
Reliability-aware scalability models for high performance computing. CLUSTER (2009)
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Geist
System log pre-processing to improve failure prediction. DSN (2009)
Zhiling Lan, Yawei Li, Ziming Zheng, Prashasta Gujrati
Enhancing application robustness through adaptive fault tolerance. IPDPS (2008)
Zhiling Lan, Yawei Li
Adaptive Fault Management of Parallel Applications for High-Performance Computing. IEEE Trans. Computers 57 (12) (2008)
Jiexing Gu, Ziming Zheng, Zhiling Lan, John White, Eva Hocks, Byung-Hoon Park
Dynamic Meta-Learning for Failure Prediction in Large-Scale Systems: A Case Study. ICPP (2008)
Yawei Li, Zhiling Lan
A fast restart mechanism for checkpoint/recovery protocols in networked environments. DSN (2008)
Yawei Li, Zhiling Lan
Analytical study of migration-enhanced fault tolerance for long-running applications in IFR systems. Int. J. Parallel Emergent Distributed Syst. 23 (5) (2008)
Yawei Li, Prashasta Gujrati, Zhiling Lan, Xian-He Sun
Fault-Driven Re-Scheduling For Improving System-level Fault Resilience. ICPP (2007)
Ziming Zheng, Yawei Li, Zhiling Lan
Anomaly localization in large-scale clusters. CLUSTER (2007)
Prashasta Gujrati, Yawei Li, Zhiling Lan, Rajeev Thakur, John White
A Meta-Learning Failure Predictor for Blue Gene/L Systems. ICPP (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhiling Lan