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, Distinguished University Teaching Professor, Data Science Director of Graduate Studies

Office

6-209 Keller Hall

Phone

612-625-3887

E-mail

boley@umn.edu

George Karypis

Professor, 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, ADC Data Science Initiative Director Chair

Office

5-225C Keller Hall

Phone

612-624-8023

E-mail

kumar001@umn.edu

Yousef Saad

Professor, 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

6-213 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

Three computers with locks in a circle illustration

Networks, Distributed Systems, and Security

EMP: Edge-assisted Multi-vehicle Perception [conference paper]

Posted January 31, 2022

27th Annual International Conference On Mobile Computing And Networking (MobiCom 2021)

Networks, Distributed Systems, and Security

AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics [conference paper]

Posted December 14, 2021

Dhruv Kumar (Ph.D. student), Sohaib Ahmad, Abhishek Chandra (professor), Ramesh Sitaraman

6th ACM/IEEE Symposium on Edge Computing

Robotics and Artificial Intelligence

Predicting Energy Consumption of Ground Robots On Uneven Terrains [journal]

Posted November 25, 2021

Minghan Wei (Ph.D. student), Volkan Isler (professor)

IEEE Robotics and Automation Letters

Data Mining, Databases, and Geographical Information Systems

Significant DBSCAN+: Statistically Robust Density-based Clustering [journal]

Posted November 24, 2021

Yiqun Xie (Ph.D. 2020), Xiaowei Jia (Ph.D. 2020), Shashi Shekhar (professor), Han Bao, Xun Zhou (Ph.D. 2014)

ACM Transactions on Intelligent Systems and Technology (TIST)

Theoretical Foundations

Nonlinear Multi-Objective Flux Balance Analysis of the Warburg Effect [preprint]

Posted November 23, 2021

Yi Zhang, Daniel Boley (professor)

Robotics and Artificial Intelligence

Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints [preprint]

Posted November 19, 2021

Parikshit Maini (postdoctoral researcher), Burak M Gonultas, Volkan Isler (professor)

Data Mining, Databases, and Geographical Information Systems

Strategies for building robust prediction models using data unavailable at prediction time [journal]

Posted November 19, 2021

Haoyu Yang (Ph.D. student), Roshan Tourani, Ying Zhu, Vipin Kumar (professor), Genevieve B Melton, Michael Steinbach (researcher), Gyorgy Simon

Journal of the American Medical Informatics Association

Data Mining, Databases, and Geographical Information Systems

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems [journal]

Posted November 18, 2021

Matheus Araújo (Ph.D. student), Paula van Dommelen, Jaideep Srivastava (professor), Ekaterina Koledova

Studies in Health Technology and Informatics

Maroon and gold lines and circles connected on a web

Bioinformatics and Computational Biology

Participatory Microbiome Research With Hmong and Karen Communities: Lessons Learned [journal]

Posted November 17, 2021

Pajau Vangay, Nancy Yang, Shannon Pergament, Mary Xiong, Bwei Paw, Rodolfo Batres, Dan Knights (professor), Kathleen A Culhane-Pera

Journal of Participatory Research Methods

Networks, Distributed Systems, and Security

Detecting Missed Security Operations Through Differential Checking of Object-based Similar Paths [conference paper]

Posted November 15, 2021

Dinghao Liu, Qiushi Wu (Ph.D. student), Shouling Ji, Kangjie Lu (assistant professor), Zhenguang Liu, Jianhai Chen, Qinming He

ACM SIGSAC Conference on Computer and Communications Security

High Performance Computing

Karypis and Kumar receive Test of Time award at SC21

Fighting COVID-19 with deep graphs

Faculty

Labs and selected projects

Related centers and programs

Latest research projects, publications, and talks

EMP: Edge-assisted Multi-vehicle Perception [conference paper]

AggNet: Cost-Aware Aggregation Networks for Geo-distributed Streaming Analytics [conference paper]

Predicting Energy Consumption of Ground Robots On Uneven Terrains [journal]

Significant DBSCAN+: Statistically Robust Density-based Clustering [journal]

Nonlinear Multi-Objective Flux Balance Analysis of the Warburg Effect [preprint]

Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints [preprint]

Strategies for building robust prediction models using data unavailable at prediction time [journal]

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems [journal]

Participatory Microbiome Research With Hmong and Karen Communities: Lessons Learned [journal]

Detecting Missed Security Operations Through Differential Checking of Object-based Similar Paths [conference paper]

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