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

Dan Boley headshot
Daniel Boley
Professor, Data Science Director of Graduate Studies
Office
6-209 Keller Hall
Phone
E-mail
George Karypis headshot
George Karypis
Distinguished McKnight University Professor
Office
483 Walter Library
Phone
Vipin Kumar headshot
Vipin Kumar
Regents Professor, William Norris Land Grant Chair in Large-Scale Computing
Office
5-225C Keller Hall
Phone
Yousef Saad headshot
Yousef Saad
Professor, William Norris Land Grant Chair in Large-Scale Computing
Office
5-225B
Phone
E-mail
Ju Sun headshot
Ju Sun
Assistant Professor
Office
5-225E Keller Hall
Phone
E-mail
Jon Weissman headshot
Jon Weissman
Professor
Office
4-225F Keller Hall
Phone

Latest research projects, publications, and talks