High Performance and Scientific Computing

High Performance and Scientific Computing

High Performance Computing involves using large computers to solve major scientific and engineering problems.  HPC is used from weather prediction to designing consumer products.  The members of the HPC group at Maryland investigate many aspects of High Performance Computing from innovations in core numerical algorithms, to system software and tools to enabling productive use of large-scale computation.

Numerical analysis and scientific computing have a long history in our department, dating from the 1970s. Our research today includes work on numerical linear algebra, ill-posed problems, fast summation methods, and the use of such ideas in diverse applications such as imaging, fluid dynamics and acoustics. The group has always had close ties with numerical analysts in the Mathematics Department, and our students are drawn from the Department of Computer Science as well as the Applied Mathematics and Scientific Computing Program.

Associated Faculty

Photo of Ramani Duraiswami

Ramani Duraiswami

Professor
Photo of Howard Elman

Howard Elman

Professor
Photo of Tom Goldstein

Tom Goldstein

Assistant Professor
Photo of Jeffrey K. Hollingsworth

Jeffrey K. Hollingsworth

Professor
Interim CIO, University of MD
Photo of Ming Lin

Ming Lin

Professor
Elizabeth Stevinson Iribe Chair of Computer Science
Photo of Dinesh Manocha

Dinesh Manocha

Professor
Paul Chrisman Iribe Professor of Computer Science and Professor of Electrical and Computer Engineering
Photo of Alan Sussman

Alan Sussman

Professor
Photo of Amitabh Varshney

Amitabh Varshney

Professor
Dean, College of Computer, Mathematical, and Natural Sciences
Photo of Dianne O'Leary

Dianne O'Leary

Professor Emerita
Distinguished University Professor
Photo of G.W. (Pete) Stewart

G.W. (Pete) Stewart

Professor Emeritus
Distinguished University Professor
Photo of Ray Chen

Ray Chen

Faculty Research Assistant
Photo of Sukhyun Song

Sukhyun Song

Research Associate