Faculty

Institution

Unit

Venue

Clifford Stein

Wai T Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science

Columbia University

Affiliations

ENG Instruction

ENG Computer Science

ENG Industrial Engr & OR

MS_ACAD-Morningside Academic

ENG Engineering

ENG Instruction

Clifford Stein is currently serving as an Eng Computer Science Wai T Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science at Columbia University.

Honors

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Experiences

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Education

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Clifford Stein

Columbia University

Wai T Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science

You can click a keyword to filter the displayed items

computer science applied mathematics machine learning scheduling problems mathematical optimization scheduling (computing) systems engineering operations research combinatorial optimization scheduling (production processes) scheduling analysis theoretical computer science graph theory mathematical programming computational optimization computer engineering computational complexity parallel computing discrete algorithms scientific computing distributed systems discrete optimization approximation algorithms natural language processing production scheduling discrete mathematics logic in computer science string theory maintenance scheduling optimization problems release dates engineering optimization numerical algorithms parallel programming high performance computer architecture network optimization algorithm design distributed processing queueing theory ring theory matching technique graph matching resource augmentation information technology combinatorial problems distributed computing distributed management network routing algorithm string processing minimum cut problem optimal time-critical scheduling faster approximation algorithms disjoint-path problems short superstrings agreeable deadlines vertex cover single-source unsplittable flow dynamic matching vertex cover approximations parallel algorithm service management management science group process graph algorithms algorithmic efficiency analysis of algorithms information theory error correction error correction code graph processing online algorithms data streams streaming algorithms stream processing m machines approximation schemes

Notable Scholarly Works

Notable Federal Grants

Collaborators

Energy Efficient Scheduling of AI/ML Workloads on Multi-Instance Gpus With Dynamic Repartitioning. (2025)

energy efficiencygpu clusterparallel computinghigh performance computer architecturegpu computingcomputer science

Forward-Backward Contention Resolution Schemes for Fair Rationing. (2025)

fair resource allocationmechanism designcomputer sciencedistributed systems

Managing High-Bandwidth Memory is a Parallel Scheduling Problem (Full Paper Only). (2025)

parallel scheduling problemhigh-performance architecturesshared memorydistributed systemsfull papermicroarchitecturecomputer engineeringparallel computingscheduling (computing)computer architecturehigh-bandwidth memorymulti-channel memory architecturehigh performance computer architecturedata-level parallelismcomputer scienceparallel programming

A Competitive Algorithm for Throughput Maximization on Identical Machines. Mathematical Programming (2024)

Benjamin MoseleyKirk PruhsClifford SteinRudy Zhou

mathematical programmingthroughput maximizationidentical machinescompetitive algorithmmachine learningengineering

Cluster Before You Hallucinate: Node-Capacitated Network Design and Energy Efficient Routing. SIAM Journal on Computing (2024)

Ravishankar KrishnaswamyViswanath NagarajanKirk PruhsClifford Stein

computer sciencenetwork sciencenode-capacitated network design

Energy-Efficient Scheduling With Predictions. arXiv (Cornell University) (2024)

Balkanski, EricPerivier, NoemieStein, CliffordWei, Hao-Ting

performance predictionscheduling (computing)production schedulingscheduling problemsenergy-efficient schedulingscheduling analysisforecastingcomputer science

Polylog-Competitive Deterministic Local Routing and Scheduling. (2024)

Bernhard HaeuplerShyamal PatelAntti RoeyskoeCliff SteinGoran Zuzic

distributed systemsroboticsscheduling (computing)trajectory optimizationscheduling problemslogisticscomputer science

Reducing Datacenter Compute Carbon Footprint by Harnessing the Power of Specialization: Principles, Metrics, Challenges and Opportunities. IEEE Transactions on Semiconductor Manufacturing (2024)

Tamar EilamPradip BoseLuca P. CarloniAsaf CidonHubertus FrankeMartha A. KimEun K. LeeMahmoud NaghshinehPritish ParidaClifford S. SteinAsser N. Tantawi

scientific computingtechnologyenergy-efficient technologiesenergy efficiencycarbon accountingdatacenter-scale computingcomputer engineeringcarbon footprintcarbon capturepower-efficient computinggreen data centercarbon sequestrationengineering

Scheduling With Speed Predictions. Research Square (Research Square) (2024)

Eric BalkanskiTingting OuClifford SteinHao-Ting Wei

speed predictionsscheduling (computing)scheduling problemsscheduling analysismachine learningapplied mathematics

Von Neumann-Morgenstern Stability and Internal Closedness in Matching Theory. Lecture notes in computer science (2024)

Yuri FaenzaClifford S. SteinJia Wan

theoretical computer sciencecomputer scienceinternal closedness

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Clifford Stein

Wai T Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science

Columbia University

Affiliations

ENG Instruction

ENG Computer Science

ENG Industrial Engr & OR

MS_ACAD-Morningside Academic

ENG Engineering

ENG Instruction

Clifford Stein is currently serving as an Eng Computer Science Wai T Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science at Columbia University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Clifford Stein

Columbia University

Wai T Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Energy Efficient Scheduling of AI/ML Workloads on Multi-Instance Gpus With Dynamic Repartitioning. (2025)

energy efficiencygpu clusterparallel computinghigh performance computer architecturegpu computingcomputer science

Forward-Backward Contention Resolution Schemes for Fair Rationing. (2025)

fair resource allocationmechanism designcomputer sciencedistributed systems

Managing High-Bandwidth Memory is a Parallel Scheduling Problem (Full Paper Only). (2025)

A Competitive Algorithm for Throughput Maximization on Identical Machines. Mathematical Programming (2024)

Benjamin MoseleyKirk PruhsClifford SteinRudy Zhou

mathematical programmingthroughput maximizationidentical machinescompetitive algorithmmachine learningengineering

Cluster Before You Hallucinate: Node-Capacitated Network Design and Energy Efficient Routing. SIAM Journal on Computing (2024)

Ravishankar KrishnaswamyViswanath NagarajanKirk PruhsClifford Stein

computer sciencenetwork sciencenode-capacitated network design

Energy-Efficient Scheduling With Predictions. arXiv (Cornell University) (2024)

Balkanski, EricPerivier, NoemieStein, CliffordWei, Hao-Ting

performance predictionscheduling (computing)production schedulingscheduling problemsenergy-efficient schedulingscheduling analysisforecastingcomputer science

Polylog-Competitive Deterministic Local Routing and Scheduling. (2024)

Bernhard HaeuplerShyamal PatelAntti RoeyskoeCliff SteinGoran Zuzic

distributed systemsroboticsscheduling (computing)trajectory optimizationscheduling problemslogisticscomputer science

Reducing Datacenter Compute Carbon Footprint by Harnessing the Power of Specialization: Principles, Metrics, Challenges and Opportunities. IEEE Transactions on Semiconductor Manufacturing (2024)

Tamar EilamPradip BoseLuca P. CarloniAsaf CidonHubertus FrankeMartha A. KimEun K. LeeMahmoud NaghshinehPritish ParidaClifford S. SteinAsser N. Tantawi

Scheduling With Speed Predictions. Research Square (Research Square) (2024)

Eric BalkanskiTingting OuClifford SteinHao-Ting Wei

speed predictionsscheduling (computing)scheduling problemsscheduling analysismachine learningapplied mathematics

Von Neumann-Morgenstern Stability and Internal Closedness in Matching Theory. Lecture notes in computer science (2024)

Yuri FaenzaClifford S. SteinJia Wan

theoretical computer sciencecomputer scienceinternal closedness

1
2
3
4
5
15
10 / page