The Computer Science Research group performs
research in computing, clusters, networking, and storage, developing the
tools and software needed to make high performance computing more
effective and accessible for scientists and engineers working on
problems of national importance.
PRESENTATIONS |
Computer Science & Engineering
- Middleware |
| |
Nagiza F. Samatova, Arie Shoshani (PI) |
Scientific Data Management Center |
|
| Al Geist |
Fault Tolerance Challenges and Solutions |
|
| The CCA Forum and the TASCS |
How the Common Component Architecture (CCA) Advances Computational Science |
|
| The CCA Forum and the TASCS |
An Overview of the Common Component Architecture (CCA) |
|
Computer Science & Engineering
- Storage |
| |
Sudharshan Vazhkudai |
Robust Storage Management in the Machine Room and Beyond |
|
Computer Science & Engineering
- System Software & Tools |
| |
Christian Engelmann |
The Harness Workbench: Unified and Adaptive Access to Diverse HPC Platforms |
|
| Tara D. Gibson, James D. Myers, Jens Schwidder |
Scientific Annotation Middleware Software infrastructure to support rich scientific records and the processes that produce them |
|
| Al Geist |
Scalable Systems Software Project |
|
| David E. Bernholdt, Wael R. Elwasif, Robert J. Harrison, Aniruddha G. Shet |
High Productivity Language Systems: Next Generation Petascale Programming |
|
| Christian Engelmann, Stephen L. Scott |
Reliability, Availability, and Serviceability (RAS) for High-Performance Computing |
|
| Thomas Naughton, Stephen L. Scott, Geoffroy Vallée |
Open Source Cluster Application Resources (OSCAR) |
|
| Thomas Naughton, Stephen L.Scott, Geoffroy Vallée |
System-Level Virtualization & OSCAR-V |
|
Leadership Science
- Biology |
| |
Pratul K. Agarwal |
Next Generation Simulations in Biology: Investigating biomolecular structure, dynamics and function through multiscale modeling |
|
| Nagiza Samatova |
BioPilot: Data-Intensive Computing for Complex Biological Systems |
|
Leadership Science
- Climate |
| |
David Bernholdt |
The Earth System Grid: Turning Climate Datasets into Community Resources |
|
