Faculty

Institution

Unit

Venue

Zhiling Lan

Professor

University of Illinois Chicago

Affiliations

College of Engineering

Computer Science

Zhiling Lan is currently serving as a College Of Engineering Professor at University of Illinois Chicago.

Honors

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Experiences

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Education

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Zhiling Lan

University of Illinois Chicago

Professor

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systems engineering computer science parallel computing machine learning computer engineering scheduling (computing) cloud computing performance evaluation scientific computing data science distributed computing high performance computing bioinformatics high performance computer architecture fault management scheduling problems distributed systems failure prediction cluster computing large-scale systems production supercomputers computer security informatics networked system design data-intensive computing scheduling (production processes) parallel applications hpc applications forecasting parallel programming production scheduling advanced computing distributed processing hpc systems network traffic reliability engineering information technology parallel processing high-performance data analytics anomaly detection scalable computing system performance analysis deep reinforcement learning productive computational science dynamic meta-learning dragonfly network torus-connected supercomputers dragonfly system hierarchical task mapping extreme scale systems job placement workload interference intelligent routing intelligent computing data security design automation databases knowledge discovery computational intelligence machine learning research avian biology dynamic pricing grid computing model refinement predictability maintenance scheduling root cause analysis fragmentation effect data infrastructures information infrastructures performance analysis power consumption cluster science synchronization protocol fault recovery fault detection scalability system software resource management

Notable Scholarly Works

Notable Federal Grants

Collaborators

Cqsim+: Symbiotic Simulation for Multi-Resource Scheduling in High-Performance Computing. (2025)

computer sciencehigh performance computer architecturedistributed systemsparallel computingdistributed simulationsscheduling (computing)multi-resource scheduling

Directing Pdes and Surrogate Models in Loosely Coupled Hybrid Simulations. (2025)

Kevin A. BrownElkin Cruz-CamachoKazutomo YoshiiXin WangZhiling LanChristopher D. CarothersRobert B. Ross

computational engineeringnumerical simulationsnumerical method for partial differential equationengineeringnumerical analysisscientific computinglarge-scale simulationssystems modelingpde-constrained optimizationsurrogate modelsmulti-physics modellingnumerical mathematicspartial differential equationsmodeling and simulationmultiphysics problemsmultiscale modelingapplied mathematics

Evaluating Energy Efficiency of AI Accelerators Using Two Mlperf Benchmarks. (2025)

artificial intelligencecomputer sciencecomputational engineeringenergy efficiencyhigh performance computer architecturehardware accelerationdomain-specific acceleratormicroarchitecturecomputer engineeringcomputer architecturecomputational efficiencyhardware algorithm

Exploring Uncore Frequency Scaling for Heterogeneous Computing. arXiv (Cornell University) (2025)

computer sciencehigh performance computer architecturescalabilityheterogeneous computingcomputer engineeringparallel computinguncore frequency scalingcluster computing

MFNETSIM: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. ACM Transactions on Modeling and Computer Simulation (2025)

systems engineeringnetwork scienceglobal networksdragonfly systemsnetworked system designdistributed systemsnetwork simulationsystems modelingcomplex systemsmodeling and simulationdistributed simulationssimulation infrastructurenetwork analysismulti-traffic modelingaerospace engineering

More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. arXiv (Cornell University) (2025)

computer sciencemanagement information systemshigh-throughput computingcomputer engineeringcapacity-predominant computingcomputer architectureinformation managementinformation technologynext generation computing

On the Effectiveness of Unified Memory in Multi-GPU Collective Communication. (2025)

computer sciencehigh performance computer architecturescalabilitymulti-channel memory architecturecomputer-supported cooperative workdistributed systemscommunicationcomputer engineeringparallel computingparallel programminggpu computingcomputer architecturegpu clustergpu architectureshared memoryunified memory

Predictive Modeling of Application Runtime in Dragonfly Systems. Lecture notes in computer science (2025)

systems engineeringcomputer modelingbio-inspired computationapplication runtimemodeling and simulationsystem performance analysis

SYNOPSIS: Mfnetsim: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. (2025)

Xin WangKevin A. BrownRobert B. RossChristopher D. CarothersZhiling Lan

network analysissystems engineeringdragonfly systemsnetworked system designdistributed systemsnetwork simulationsystems modelingcomputer engineeringmodeling and simulationcomplex systemsdistributed simulationsnetwork sciencemulti-traffic modeling

Hybrid Pdes Simulation of Hpc Networks Using Zombie Packets. ACM Transactions on Modeling and Computer Simulation (2024)

Elkin Cruz-CamachoKevin BrownXin WangXiongxiao XuKai ShuZhiling LanBob RossChristopher Carothers

computer sciencehigh performance computer architecturesurrogate modelsimulation infrastructurenetwork trafficsurrogate modelsnetwork simulationcomputer engineeringparallel computingparallel programmingmodeling and simulationcluster computing

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Zhiling Lan

Professor

University of Illinois Chicago

Affiliations

College of Engineering

Computer Science

Zhiling Lan is currently serving as a College Of Engineering Professor at University of Illinois Chicago.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Zhiling Lan

University of Illinois Chicago

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Cqsim+: Symbiotic Simulation for Multi-Resource Scheduling in High-Performance Computing. (2025)

computer sciencehigh performance computer architecturedistributed systemsparallel computingdistributed simulationsscheduling (computing)multi-resource scheduling

Directing Pdes and Surrogate Models in Loosely Coupled Hybrid Simulations. (2025)

Kevin A. BrownElkin Cruz-CamachoKazutomo YoshiiXin WangZhiling LanChristopher D. CarothersRobert B. Ross

Evaluating Energy Efficiency of AI Accelerators Using Two Mlperf Benchmarks. (2025)

Exploring Uncore Frequency Scaling for Heterogeneous Computing. arXiv (Cornell University) (2025)

computer sciencehigh performance computer architecturescalabilityheterogeneous computingcomputer engineeringparallel computinguncore frequency scalingcluster computing

MFNETSIM: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. ACM Transactions on Modeling and Computer Simulation (2025)

More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. arXiv (Cornell University) (2025)

On the Effectiveness of Unified Memory in Multi-GPU Collective Communication. (2025)

Predictive Modeling of Application Runtime in Dragonfly Systems. Lecture notes in computer science (2025)

systems engineeringcomputer modelingbio-inspired computationapplication runtimemodeling and simulationsystem performance analysis

SYNOPSIS: Mfnetsim: A Multi-Fidelity Network Simulation Framework for Multi-Traffic Modeling of Dragonfly Systems. (2025)

Xin WangKevin A. BrownRobert B. RossChristopher D. CarothersZhiling Lan

Hybrid Pdes Simulation of Hpc Networks Using Zombie Packets. ACM Transactions on Modeling and Computer Simulation (2024)

Elkin Cruz-CamachoKevin BrownXin WangXiongxiao XuKai ShuZhiling LanBob RossChristopher Carothers

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Similar Faculty Members

Michael E. Papka

Institution

University of Illinois Chicago

large-scale data analysis

high-performance computing

Hari Subramoni

Institution

Ohio State University

parallel computing

distributed system

Barbara Chapman

Institution

Stony Brook University

parallel complexity theory

high performance computing

Dan C. Marinescu

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University of Central Florida

grid computing

supercomputer architecture

Hong Jiang

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University of Texas at Arlington

systems engineering

computer science

Ali Akoglu

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University of Arizona

resource management

design automation

Christopher Gill

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real time systems

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University of Oregon

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parallel computing

Xiao Qin

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Dimitrios S. Nikolopoulos

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