We request funds to purchase our next-generation computing cluster to support computationally intensive NIH-funded research at Washington University in St. Louis. This system will become the foundation of the Center for High Performance Computing (CHPC) to support our active, diverse user community. It has been designed to meet our current and future computing needs. It adds additional capabilities to support emerging fields such as ?Deep Learning?. The CHPC currently supports over 775 users from 300 different groups across 33 departments. 58 papers have cited the CHPC. The Center has a proven funding model and is economically sustainable. The Center has partnered with other University organizations to offer training workshops, not only on the use of the cluster, but also on introductory programming for users with no prior programming experience. If this proposal is funded, we will be able to continue to support this ever-growing diverse community of researchers. The proposed system would replace critical components including the management node, the login nodes, the storage, and upgrade the Infiniband networking. We would add substantial upgrades to our computing power with state-of-the-art processors, increased memory capacity for growing jobs, General Purpose Graphical Processing units (GPGPUs), and new capabilities for ?Deep Learning?.

Public Health Relevance

Nearly all fields of NIH-funded research are faced with increasingly large data sets that require additional computing power to analyze. We propose building a next-generation computing cluster to support this research. Our Center has a proven track record in supporting a large, diverse group of users in all aspects of their computationally demanding research.

Agency
National Institute of Health (NIH)
Institute
Office of The Director, National Institutes of Health (OD)
Type
Biomedical Research Support Shared Instrumentation Grants (S10)
Project #
1S10OD025200-01A1
Application #
9707936
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Horska, Alena
Project Start
2019-08-05
Project End
2020-08-04
Budget Start
2019-08-05
Budget End
2020-08-04
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Washington University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130