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.
Faculty






Labs and selected projects
- DCSG: Distributed Computing Systems Group Jon Weissman
- pARMS: parallel Algebraic Recursive Multilevel Solvers Yousef Saad
- UMN Machine Learning Seminar Series
Related centers and programs
Latest research projects, publications, and talks

EMP: Edge-assisted Multi-vehicle Perception [conference paper]
Posted January 31, 2022
27th Annual International Conference On Mobile Computing And Networking (MobiCom 2021)

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

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

About a Proof Pearl: A Purported Solution to a POPLMARK Challenge Problem that is Not One [preprint]
Posted December 17, 2021
Gopalan Nadathur (professor)

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

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)

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)

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

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)

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)
More About Research areas
- Architectures, Compiler Optimization, and Embedded Systems
- Bioinformatics and Computational Biology
- Data Mining, Databases, and Geographical Information Systems
- Graphics and Immersive Computing
- Human Computer Interaction (HCI)
- Networks, Distributed Systems, and Security
- Robotics and Artificial Intelligence
- Software Engineering and Programming Languages
- Theoretical Foundations