High Performance Computing
Vipin Kumar and George Karypis accepting the Test of Time Award at the 2021 Supercomputing Conference
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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.

Faculty

Dan Boley
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 headshot
George Karypis
Professor, Distinguished McKnight University Professor
Office
483 Walter Library
Phone
612-626-7524
E-mail
karypis@umn.edu
Vipin Kumar
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 headshot
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 headshot
Ju Sun
Assistant Professor
Office
6-213 Keller Hall
Phone
612-621-2729
E-mail
jusun@umn.edu
Jon Weissman headshot
Jon Weissman
Professor
Office
4-225F Keller Hall
Phone
612-626-0044
E-mail
weiss039@umn.edu

Labs and selected projects 

Related centers and programs 

Latest research projects, publications, and talks

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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)

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Data Mining, Databases, and Geographical Information Systems

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification [preprint]

Posted December 22, 2021

Majid Farhadloo (Ph.D. student), Carl Molnar (M.S. student), Gaoxiang Luo (undergraduate research assistant), Yan Li (Ph.D. student), Shashi Shekhar (professor), Rachel L Maus, Svetomir N Markovic, Raymond Moore, Alexey Leontovich

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Bioinformatics and Computational Biology

Identification and characterization of a fungal-selective glutaminyl tRNA synthetase inhibitor with potent activity against Candida albicans [journal]

Posted December 17, 2021

Alice Xue, Amanda Veri, Xiang Zhang, Ci Fu, Emma Lash, Kali Iyer, Nicole Revie, Nicole Robbins, Charles Boone, Chad Myers (professor), Leah Cowen

Access Microbiology

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Software Engineering and Programming Languages

About a Proof Pearl: A Purported Solution to a POPLMARK Challenge Problem that is Not One [preprint]

Posted December 17, 2021

Gopalan Nadathur (professor)

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Human Computer Interaction

Perceptions of Visual and Multimodal Symbolic Mediated Social Touch: Role of Technology Modality, Relationship, and Task Emotional Salience [journal]

Posted December 17, 2021

Svetlana Yarosh (associate professor), Xizi Wang, Yuan Yao

International Journal of Human-Computer Studies

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Data Mining, Databases, and Geographical Information Systems

A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition [conference paper]

Posted December 15, 2021

Weiwei Duan, Yao-Yi Chiang (associate professor), Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock

IEEE International Conference on Big Data (IEEE BigData)

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Data Mining, Databases, and Geographical Information Systems

Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images [conference paper]

Posted December 15, 2021

Weiwei Duan, Yao-Yi Chiang (associate professor), Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock

IEEE International Conference on Big Data (IEEE BigData)

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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

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Robotics and Artificial Intelligence

Early Stopping for Deep Image Prior [preprint]

Posted December 11, 2021

Hengkang Wang (Ph.D. student), Taihui Li (Ph.D. student), Zhong Zhuang (Ph.D. student), Tiancong Chen (Ph.D. student), Hengyue Liang, Ju Sun (assistant professor)

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High Performance Computing

TempoQR: Temporal Question Reasoning over Knowledge Graphs [preprint]

Posted December 10, 2021

Costas Mavromatis (Ph.D. student), Prasanna Lakkur Subramanyam, Vassilis N Ioannidis, Soji Adeshina, Phillip R Howard, Tetiana Grinberg, Nagib Hakim, George Karypis (professor)

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