High Performance Computing

Research in this area explores the development and analysis of parallel algorithms for distributed or multiprocessor systems. These methods are effective for data intensive applications and/or computationally intensive applications such as optimization, graph partitioning, data mining, and solving sparse linear equations. Specific research in this field focuses on grid computing, parallel algorithm design, performance analysis, and sparse matrix algorithms for large-scale scientific and engineering simulations. Software libraries developed by the group are used extensively world-wide in industry, academia and research labs.

Daniel Boley

Professor, Data Science Director of Graduate Studies

Office

6-209 Keller Hall

Phone

612-625-3887

E-mail

boley@umn.edu

George Karypis

Distinguished McKnight University Professor

Office

483 Walter Library

Phone

612-626-7524

E-mail

karypis@umn.edu

Vipin Kumar

Regents Professor, William Norris Land Grant Chair in Large-Scale Computing

Office

5-225C Keller Hall

Phone

612-624-8023

E-mail

kumar001@umn.edu

Yousef Saad

CSE Distinguished Professor, William Norris Land Grant Chair in Large-Scale Computing

Office

5-225B

Phone

612-624-7804

E-mail

saad@umn.edu

Ju Sun

Assistant Professor

Office

5-225E Keller Hall

Phone

612-621-2729

E-mail

jusun@umn.edu

Jon Weissman

Professor

Office

4-225F Keller Hall

Phone

612-626-0044

E-mail

weiss039@umn.edu

Latest research projects, publications, and talks

Data Mining, Databases, and Geographical Information Systems

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems [preprint]

Posted September 17, 2021

Athanasios N Nikolakopoulos, Xia Ning, Christian Desrosiers, George Karypis (professor)

Robotics and Artificial Intelligence

ROW-SLAM: Under-Canopy Cornfield Semantic SLAM [preprint]

Posted September 15, 2021

Jiacheng Yuan, Jungseok Hong (Ph.D. student), Junaed Sattar (assistant professor), Volkan Isler (professor)

Data Mining, Databases, and Geographical Information Systems

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics [preprint]

Posted September 14, 2021

Rahul Ghosh (Ph.D. student), Arvind Renganathan (Ph.D. student), Ankush Khandelwal (Ph.D. 2019), Xiaowei Jia (Ph.D. 2020), Xiang Li, John Neiber, Chris Duffy, Vipin Kumar (professor)

High Performance Computing

HeMI: Multi-view Embedding in Heterogeneous Graphs [preprint]

Posted September 14, 2021

Costas Mavromatis (Ph.D student), George Karypis (professor)

Robotics and Artificial Intelligence

Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping [preprint]

Posted September 14, 2021

Nikhil Chavan-Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D Lee, Volkan Isler (professor)

Three computers with locks in a circle illustration

Networks, Distributed Systems, and Security

ALWAES: an Automatic Outdoor Location-Aware Correction System for Online Delivery Platforms [journal]

Posted September 14, 2021

Dongzhe Jiang, Yi Ding (Ph.D. student), Hao Zhang, Yunhuai Liu, Tian He (adjunct professor), Yu Yang, Desheng Zhang (Ph.D. 2015)

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Networks, Distributed Systems, and Security

A City-Wide Crowdsourcing Delivery System with Reinforcement Learning [journal]

Posted September 14, 2021

Yi Ding (Ph.D. student), Baoshen Guo, Lin Zheng, Mingming Lu, Desheng Zhang (Ph.D. 2015), Shuai Wang, Sang Hyuk Son, Tian He (adjunct professor)

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Data Mining, Databases, and Geographical Information Systems

FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation [preprint]

Posted September 13, 2021

Agoritsa Polyzou (Ph.D. 2020), Maria Kalantzi (Ph.D. student), George Karypis (professor)

Software Engineering and Programming Languages

Composition of Fault Forests [conference paper]

Posted September 7, 2021

Danielle Stewart (Ph.D. 2020), Michael Whalen (adjunct assistant professor), Mats Heimdahl (professor), Jing Janet Liu, Darren Cofer (adjunct assistant professor)

40th International Conference on Computer Safety, Reliability and Security (SafeComp 2021)

Robotics and Artificial Intelligence

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica [preprint]

Posted September 6, 2021

Shirley Anugrah Hayati, Dongyeop Kang (assistant professor), Lyle Ungar

High Performance Computing

Fighting COVID-19 with deep graphs

Faculty

Labs and selected projects

Related centers and programs

Latest research projects, publications, and talks

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems [preprint]

ROW-SLAM: Under-Canopy Cornfield Semantic SLAM [preprint]

Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics [preprint]

HeMI: Multi-view Embedding in Heterogeneous Graphs [preprint]

Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping [preprint]

ALWAES: an Automatic Outdoor Location-Aware Correction System for Online Delivery Platforms [journal]

A City-Wide Crowdsourcing Delivery System with Reinforcement Learning [journal]

FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation [preprint]

Composition of Fault Forests [conference paper]

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica [preprint]

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