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
Bahar Asgari
Assistant ProfessorAbhinav Bhatele
Associate ProfessorLaxman Dhulipala
Assistant ProfessorRamani Duraiswami
ProfessorHoward Elman
ProfessorTom Goldstein
ProfessorVolpi-Cupal Endowed Professor
Jeffrey K. Hollingsworth
ProfessorVice President & CIO, University of MD
Ming Lin
ProfessorDr. Barry Mersky and Capital One E-Nnovate Endowed Professor; Distinguished University Professor
Dinesh Manocha
ProfessorPaul Chrisman Iribe Professor of Computer Science and Electrical and Computer Engineering, Distinguished University Professor
Rob Patro
Associate ProfessorAlan Sussman
ProfessorAssociate Chair of Undergraduate Education
Amitabh Varshney
ProfessorDean, College of Computer, Mathematical, and Natural Sciences
Dianne O'Leary
Professor EmeritaDistinguished University Professor
G.W. (Pete) Stewart
Professor EmeritusDistinguished University Professor