Research at UMD using High Performance Computing
The University of Maryland is a public research university, and the High Performance Computing resources managed by the Division of Information Technology exists to enhance the University's mission of providing excellence in research and teaching.
This page is an incomplete collection of some of the ways in which the University's High Performance Computing Clusters have assisted researchers on campus in furthering these goals. If you are a researcher and wish to add your research using the University's HPC resources to the list, please contact us.
- UMD HPC assisted research in popular media
- Publications produced with assistance of UMD HPC resources:
- UMD courses using HPC resources
University of Maryland HPC assisted research in the popular media
Local newspapers had several articles referring to the Deepthought HPC clusters and the research performed on them, including:
- Crunched: Deepthought2's Deep Thoughts: a Washington Post vignette of ten fields of research being enhanced by the new HPC cluster.
- U-Md. supercomputer lands on list of top performers: a brief discussion of the new cluster from the Washington Post
- UMD supercomputer to boost complex research: an article in The Baltimore Sun announcing the cluster
The work of Dr. Peter Teuben (Department of Astronomy) using the original Deepthought HPC cluster to explore the evolution of the universe was featured on a program on the History Channel. Below is a snippet of that program:
Courses using UMD HPC resources
Education is the primary mission of the University, and experience with High Performance Computing is a necessary part of a balanced educational experience in many disciplines. As such, the Division of Information Technology makes some HPC cluster resources available for classes offered by the University upon the request of the instructors. If you are an instructor for a class which you believe might benefit from using some of the University's HPC resources, you can request the class gets access to some HPC resources.
Below is a list of some of the standard academic offerings which have used some of the University's HPC resources as part of the class:
|2018||Fall||BIOE 489N/BIOE 689U||Introduction to Computational Molecular Bioengineering/Computional Molecular Bioengineering||Silvina R. Matysiak|
|2018||Fall||CMSC714||High Performance Computing||Alan L. Sussman|
|2018||Spring||CMSC 433||Programming Language Techniques and Paradigms||Anwar Mamat|
|2017||Fall||ENMA 400||Introduction to Atomistic Modeling in Material Sciences||Yifei Mo|
|2017||Spring||CMSC 714||High Performance Computing||Alan L. Sussman|
|2016||Spring||AMSC/CMSC 662||Computer Organization and Programming for Scientific Computing||Ramani Duraiswami|
|2016||Fall||ENMA 489A||Selected Topics in Engineering Materials: Introduction to Computational Material Science||Yifei Mo|
|2016||Fall||CMSC 498E||Selected Topics in Computer Science||Larry S. Davis|
|2016||Fall||BIOE 489N||Special Topics in Bio-Engineering||Silvina R. Matysiak|
|2015||Spring||ENMA 489A||Selected Topics in Engineering Materials: Introduction to Computational Material Science||Yifei Mo|
|2015||Spring||ENAE 488C||Topics in Aerospace Engineering: Computational Fluid Dynamics||Ashish Nedungadi|
|2015||Spring||CMSC 714||High Performance Computing||Alan L. Sussman|
There have been a number of conferences, workshops, etc. sponsored by members of the University that also made use of the HPC resources, including:
- HPCC Bootcamp: The Division of Information Technology has offered one or two of these week-long HPC "bootcamps" giving an introduction to code optimization, OpenMP, and MPI programming almost every year since 2010.
- Oct 2014 UMD/Nvidia GPU Summit Conference