Research Forum on High-Performance Computing
May 1, 2015
The Vice President for Research Karl Steiner in collaboration with Vice President for IT Jack Suess organized the Research Forum on High-Performance Computing More ...
HPCF User Meeting #2
April 10, 2015
The UMBC HPCF hosted a second user community meeting on Friday April 10th at 3:30pm in MP 106. More ...
WelcomeThe UMBC High Performance Computing Facility (HPCF) is the community-based, interdisciplinary core facility for scientific computing and research on parallel algorithms at UMBC. Started in 2008 by more than 20 researchers from ten academic departments and research centers from all three colleges, it is supported by faculty contributions, federal grants, and the UMBC administration. The facility is open to UMBC researchers at no charge. Researchers can contribute funding for long-term priority access. System administration is provided by the UMBC Division of Information Technology, and users have access to consulting support provided by dedicated full-time graduate assistants. See www.umbc.edu/hpcf for more information on HPCF and the projects using its resources.
Released in Summer 2014, the current machine in HPCF is the 240-node distributed-memory cluster maya. The newest part of the cluster are the 72 nodes with two eight-core 2.6 GHz Intel E5-2650v2 Ivy Bridge CPUs and 64 GB memory that include 19 hybrid nodes with two state-of-the-art NVIDIA K20 GPUs (graphics processing units) designed for scientific computing and 19 hybrid nodes with two cutting-edge 60-core Intel Phi 5110P accelerators. These new nodes are connected along with the 84 nodes with two quad-core 2.6 GHz Intel Nehalem X5550 CPUs and 24 GB memory by a high-speed quad-data rate (QDR) InfiniBand network for research on parallel algorithms. The remaining 84 nodes with two quad-core 2.8 GHz Intel Nehalem X5560 CPUs and 24 GB memory are designed for fastest number crunching and connected by a dual-data rate (DDR) InfiniBand network. All nodes are connected via InfiniBand to a central storage of more than 750 TB.
This webpage provides information about the facility, its systems, research projects, resources for users, and contact information.