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Zhiling Lan
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2020 – today
- 2024
- [c77]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CLUSTER Workshops 2024: 136-143 - [c76]Xiongxiao Xu
, Kevin A. Brown
Surrogate Modeling for HPC Application Iteration Times Forecasting with Network Features. SIGSIM-PADS 2024: 93-97 - [i13]Yao Kang, Xin Wang, Zhiling Lan:
Study of Workload Interference with Intelligent Routing on Dragonfly. CoRR abs/2403.16288 (2024) - [i12]Boyang Li, Zhiling Lan, Michael E. Papka:
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. CoRR abs/2403.16293 (2024) - [i11]Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka:
MRSch: Multi-Resource Scheduling for HPC. CoRR abs/2403.16298 (2024) - [i10]Yao Kang, Xin Wang, Zhiling Lan:
Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. CoRR abs/2403.16301 (2024) - [i9]Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan:
Union: An Automatic Workload Manager for Accelerating Network Simulation. CoRR abs/2403.17036 (2024) - [i8]Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, Kai Shu:
Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting. CoRR abs/2404.14757 (2024) - [i7]Yao Kang, Xin Wang, Neil McGlohon, Misbah Mubarak, Sudheer Chunduri, Zhiling Lan:
Modeling and Analysis of Application Interference on Dragonfly+. CoRR abs/2406.15097 (2024) - [i6]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 abs/2407.01638 (2024) - 2023
- [j27]Xingfu Wu
Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. 35(15) (2023) - [c75]Boyang Li, Zhiling Lan, Michael E. Papka:
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. MASCOTS 2023: 1-8 - [c74]Yao Kang
Workload Interference Prevention with Intelligent Routing and Flexible Job Placement on Dragonfly. SIGSIM-PADS 2023: 23-33 - [c73]Elkin Cruz-Camacho
Hybrid PDES Simulation of HPC Networks Using Zombie Packets. SIGSIM-PADS 2023: 128-132 - [c72]Xiongxiao Xu
Machine Learning for Interconnect Network Traffic Forecasting: Investigation and Exploitation. SIGSIM-PADS 2023: 133-137 - 2022
- [j26]Yuping Fan
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. IEEE Trans. Parallel Distributed Syst. 33(12): 4903-4917 (2022) - [c71]Boyang Li, Yuping Fan, Matthew T. Dearing
MRSch: Multi-Resource Scheduling for HPC. CLUSTER 2022: 47-57 - [c70]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
Hybrid Workload Scheduling on HPC Systems. IPDPS 2022: 470-480 - [c69]Boyang Li, Yuping Fan, Michael E. Papka
Encoding for Reinforcement Learning Driven Scheduling. JSSPP 2022: 68-87 - [c68]Yao Kang, Xin Wang, Zhiling Lan:
Study of Workload Interference with Intelligent Routing on Dragonfly. SC 2022: 20:1-20:14 - 2021
- [j25]Yuping Fan
DRAS-CQSim: A reinforcement learning based framework for HPC cluster scheduling. Softw. Impacts 8: 100077 (2021) - [c67]Sahil Sharma, Zhiling Lan, Xingfu Wu
A Dynamic Power Capping Library for HPC Applications. CLUSTER 2021: 797-798 - [c66]Yao Kang, Xin Wang, Zhiling Lan:
Q-adaptive: A Multi-Agent Reinforcement Learning Based Routing on Dragonfly Network. HPDC 2021: 189-200 - [c65]Yuping Fan, Zhiling Lan, J. Taylor Childers
Deep Reinforcement Agent for Scheduling in HPC. IPDPS 2021: 807-816 - [c64]Xingfu Wu
Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC 2021: 17-24 - [i5]Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka:
Deep Reinforcement Agent for Scheduling in HPC. CoRR abs/2102.06243 (2021) - [i4]Yuping Fan, Zhiling Lan:
DRAS-CQSim: A Reinforcement Learning based Framework for HPC Cluster Scheduling. CoRR abs/2105.07526 (2021) - [i3]Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan:
Hybrid Workload Scheduling on HPC Systems. CoRR abs/2109.05412 (2021) - 2020
- [c63]Xin Wang, Misbah Mubarak, Yao Kang, Robert B. Ross, Zhiling Lan:
Union: An Automatic Workload Manager for Accelerating Network Simulation. IPDPS 2020: 821-830 - [i2]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR abs/2011.06655 (2020) - [i1]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul:
Scheduling Beyond CPUs for HPC. CoRR abs/2012.05439 (2020)
2010 – 2019
- 2019
- [c62]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka
Scheduling Beyond CPUs for HPC. HPDC 2019: 97-108 - [c61]Yao Kang, Xin Wang, Neil McGlohon
Modeling and Analysis of Application Interference on Dragonfly+. SIGSIM-PADS 2019: 161-172 - 2018
- [j24]Li Yu
System-wide trade-off modeling of performance, power, and resilience on petascale systems. J. Supercomput. 74(7): 3168-3192 (2018) - [c60]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: 36:1-36:10 - [c59]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: 1113-1122 - 2017
- [j23]Jingjin Wu
Topology mapping of irregular parallel applications on torus-connected supercomputers. J. Supercomput. 73(4): 1691-1714 (2017) - [j22]Eduardo Berrocal
Toward General Software Level Silent Data Corruption Detection for Parallel Applications. IEEE Trans. Parallel Distributed Syst. 28(12): 3642-3655 (2017) - [c58]Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka
Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. CLUSTER 2017: 530-540 - [c57]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: 641-642 - [c56]Xin Wang, Xu Yang, Misbah Mubarak, Robert B. Ross, Zhiling Lan:
A Preliminary Study of Intra-Application Interference on Dragonfly Network. CLUSTER 2017: 643-644 - [c55]William E. Allcock
Experience and Practice of Batch Scheduling on Leadership Supercomputers at Argonne. JSSPP 2017: 1-24 - 2016
- [j21]Sean Wallace
Application power profiling on IBM Blue Gene/Q. Parallel Comput. 57: 73-86 (2016) - [j20]Zhou Zhou
I/O-aware bandwidth allocation for petascale computing systems. Parallel Comput. 58: 107-116 (2016) - [j19]Li Yu, Zhiling Lan:
A Scalable, Non-Parametric Method for Detecting Performance Anomaly in Large Scale Computing. IEEE Trans. Parallel Distributed Syst. 27(7): 1902-1914 (2016) - [j18]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): 3269-3282 (2016) - [c54]Xingwu Zhang, Zhou Zhou, Xu Yang, Zhiling Lan, Jia Wang:
Exploring Plan-Based Scheduling for Large-Scale Computing Systems. CLUSTER 2016: 259-268 - [c53]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: 419-430 - [c52]Xu Yang, John Jenkins, Misbah Mubarak, Xin Wang, Robert B. Ross, Zhiling Lan:
Study of Intra- and Interjob Interference on Torus Networks. ICPADS 2016: 239-246 - [c51]Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock
A data driven scheduling approach for power management on HPC systems. SC 2016: 656-666 - [c50]Xu Yang, John Jenkins, Misbah Mubarak, Robert B. Ross, Zhiling Lan:
Watch out for the bully!: job interference study on dragonfly network. SC 2016: 750-760 - 2015
- [j17]Li Yu, Zhou Zhou
Quantitative modeling of power performance tradeoffs on extreme scale systems. J. Parallel Distributed Comput. 84: 1-14 (2015) - [j16]Ziming Zheng, Li Yu, Zhiling Lan:
Reliability-Aware Speedup Models for Parallel Applications with Coordinated Checkpointing/Restart. IEEE Trans. Computers 64(5): 1402-1415 (2015) - [j15]Jingjin Wu, Xuanxing Xiong, Zhiling Lan:
Hierarchical task mapping for parallel applications on supercomputers. J. Supercomput. 71(5): 1776-1802 (2015) - [c49]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: 254-263 - [c48]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka
Comparison of Vendor Supplied Environmental Data Collection Mechanisms. CLUSTER 2015: 690-697 - [c47]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: 275-278 - [c46]Xin Wang, Wei Tang, Rajkumar Kettimuthu, Zhiling Lan:
Utility-Based Scheduling for Bulk Data Transfers between Distributed Computing Facilities. ICPP Workshops 2015: 175-183 - [c45]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: 439-448 - 2014
- [c44]Eduardo Berrocal, Li Yu, Sean Wallace, Michael E. Papka
Exploring void search for fault detection on extreme scale systems. CLUSTER 2014: 1-9 - [c43]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: 140-148 - 2013
- [j14]Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan:
Job scheduling with adjusted runtime estimates on production supercomputers. J. Parallel Distributed Comput. 73(7): 926-938 (2013) - [j13]Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai:
Toward balanced and sustainable job scheduling for production supercomputers. Parallel Comput. 39(12): 753-768 (2013) - [j12]Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan:
Multi-domain job coscheduling for leadership computing systems. J. Supercomput. 63(2): 367-384 (2013) - [c42]Li Yu, Zhiling Lan:
A scalable, non-parametric anomaly detection framework for Hadoop. CAC 2013: 22:1-22:2 - [c41]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm
Application power profiling on IBM Blue Gene/Q. CLUSTER 2013: 1-8 - [c40]Yongen Yu, Jingjin Wu, Zhiling Lan, Douglas H. Rudd, Nickolay Y. Gnedin, Andrey V. Kravtsov:
A Transparent Collective I/O Implementation. IPDPS 2013: 297-307 - [c39]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka
Measuring Power Consumption on IBM Blue Gene/Q. IPDPS Workshops 2013: 853-859 - [c38]Zhou Zhou, Zhiling Lan, Wei Tang, Narayan Desai:
Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling. JSSPP 2013: 96-115 - [c37]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: 60:1-60:11 - 2012
- [c36]Li Yu, Ziming Zheng, Zhiling Lan, Terry R. Jones
Filtering log data: Finding the needles in the Haystack. DSN 2012: 1-12 - [c35]Ziming Zheng, Li Yu, Zhiling Lan, Terry R. Jones
3-Dimensional root cause diagnosis via co-analysis. ICAC 2012: 181-190 - [c34]Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai:
Adaptive Metric-Aware Job Scheduling for Production Supercomputers. ICPP Workshops 2012: 107-115 - [c33]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: 933-944 - [c32]Jingjin Wu, Zhiling Lan, Xuanxing Xiong, Nickolay Y. Gnedin, Andrey V. Kravtsov:
Hierarchical task mapping of cell-based AMR cosmology simulations. SC 2012: 75 - 2011
- [j11]Yawei Li, Zhiling Lan:
FREM: A Fast Restart Mechanism for General Checkpoint/Restart. IEEE Trans. Computers 60(5): 639-652 (2011) - [c31]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: 8-16 - [c30]Zhou Zhou, Wei Tang, Ziming Zheng, Zhiling Lan, Narayan Desai:
Evaluating Performance Impacts of Delayed Failure Repairing on Large-Scale Systems. CLUSTER 2011: 532-536 - [c29]Li Yu, Ziming Zheng, Zhiling Lan, Susan Coghlan:
Practical online failure prediction for Blue Gene/P: Period-based vs event-driven. DSN Workshops 2011: 259-264 - [c28]Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan:
Job Coscheduling on Coupled High-End Computing Systems. ICPP Workshops 2011: 317-326 - [c27]Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner, Yongen Yu:
Reducing Fragmentation on Torus-Connected Supercomputers. IPDPS 2011: 828-839 - [c26]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: 840-851 - [c25]Wei Tang, Zhiling Lan, Narayan Desai:
Improving Job Scheduling on Production Supercomputers. IPDPS Workshops 2011: 2073-2076 - 2010
- [j10]Zhiling Lan, Jiexing Gu, Ziming Zheng, Rajeev Thakur
A study of dynamic meta-learning for failure prediction in large-scale systems. J. Parallel Distributed Comput. 70(6): 630-643 (2010) - [j9]Zhiling Lan, Ziming Zheng, Yawei Li:
Toward Automated Anomaly Identification in Large-Scale Systems. IEEE Trans. Parallel Distributed Syst. 21(2): 174-187 (2010) - [c24]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: 15-22 - [c23]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: 1-11 - [c22]Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner:
Automatic and coordinated job recovery for high performance computing. MTAGS@SC 2010: 1-9
2000 – 2009
- 2009
- [j8]Yawei Li, Zhiling Lan, Prashasta Gujrati, Xian-He Sun:
Fault-Aware Runtime Strategies for High-Performance Computing. IEEE Trans. Parallel Distributed Syst. 20(4): 460-473 (2009) - [c21]Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, Bing Xie
Performance under Failures of DAG-based Parallel Computing. CCGRID 2009: 236-243 - [c20]Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner:
Fault-aware, utility-based job scheduling on Blue, Gene/P systems. CLUSTER 2009: 1-10 - [c19]Ziming Zheng, Zhiling Lan:
Reliability-aware scalability models for high performance computing. CLUSTER 2009: 1-9 - [c18]Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Geist:
System log pre-processing to improve failure prediction. DSN 2009: 572-577 - 2008
- [j7]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): 409-426 (2008) - [j6]Zhiling Lan, Yawei Li:
Adaptive Fault Management of Parallel Applications for High-Performance Computing. IEEE Trans. Computers 57(12): 1647-1660 (2008) - [c17]Yawei Li, Zhiling Lan:
A fast restart mechanism for checkpoint/recovery protocols in networked environments. DSN 2008: 217-226 - [c16]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: 157-164 - [c15]Zhiling Lan, Yawei Li, Ziming Zheng, Prashasta Gujrati:
Enhancing application robustness through adaptive fault tolerance. IPDPS 2008: 1-5 - 2007
- [c14]Ziming Zheng, Yawei Li, Zhiling Lan:
Anomaly localization in large-scale clusters. CLUSTER 2007: 322-330 - [c13]Yawei Li, Prashasta Gujrati, Zhiling Lan, Xian-He Sun:
Fault-Driven Re-Scheduling For Improving System-level Fault Resilience. ICPP 2007: 39 - [c12]Prashasta Gujrati, Yawei Li, Zhiling Lan, Rajeev Thakur
A Meta-Learning Failure Predictor for Blue Gene/L Systems. ICPP 2007: 40 - 2006
- [j5]Zhiling Lan, Valerie E. Taylor, Yawei Li:
DistDLB: Improving cosmology SAMR simulations on distributed computing systems through hierarchical load balancing. J. Parallel Distributed Comput. 66(5): 716-731 (2006) - [c11]Jungmin Lee, Zhiling Lan, James F. Amundson, Panagiotis Spentzouris:
Evaluating Performance and Scalability of Advanced Accelerator Simulations. CCGRID 2006: 209-216 - [c10]Yawei Li, Zhiling Lan:
Exploit Failure Prediction for Adaptive Fault-Tolerance in Cluster Computing. CCGRID 2006: 531-538 - [c9]Yawei Li, Zhiling Lan:
Poster reception - Improving fault resilience of high performance applications. SC 2006: 155 - 2005
- [c8]Yawei Li, Zhiling Lan:
A novel workload migration scheme for heterogeneous distributed computing. CCGRID 2005: 1055-1062 - 2004
- [j4]Zhiling Lan, Prathibha Deshikachar:
Performance analysis of a large-scale cosmology application on three cluster systems. Int. J. High Perform. Comput. Netw. 2(2/3/4): 156-164 (2004) - [c7]Yawei Li, Zhiling Lan:
A Survey of Load Balancing in Grid Computing. CIS 2004: 280-285 - 2003
- [j3]Zhiling Lan, Valerie E. Taylor, Greg Bryan
Exploring cosmology applications on distributed environments. Future Gener. Comput. Syst. 19(6): 839-847 (2003) - [c6]Zhiling Lan, Prathibha Deshikachar:
Performance Analysis of a Large-Scale Cosmology Application on Three Cluster Systems. CLUSTER 2003: 56-63 - 2002
- [j2]Zhiling Lan, Valerie E. Taylor, Greg Bryan
A novel dynamic load balancing scheme for parallel systems. J. Parallel Distributed Comput. 62(12): 1763-1781 (2002) - [j1]Zhiling Lan, Valerie E. Taylor, Greg Bryan
Dynamic load balancing of SAMR applications on distributed systems. Sci. Program. 10(4): 319-328 (2002) - 2001
- [c5]Zhiling Lan, Valerie E. Taylor, Greg Bryan:
Dynamic Load Balancing for Structured Adaptive Mesh Refinement Applications. ICPP 2001: 571-579 - [c4]Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens:
Prophesy: Automating the Modeling Process. Active Middleware Services 2001: 3-11 - [c3]Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson:
Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. PP 2001 - [c2]Zhiling Lan, Valerie E. Taylor, Greg Bryan
Dynamic load balancing of SAMR applications on distributed systems. SC 2001: 36 - 2000
- [c1]Xingfu Wu
Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. HPDC 2000: 302-303
Coauthor Index
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