The 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 academic colleges at UMBC, it is supported by faculty contributions, federal grants, and the UMBC administration. Since HPCF’s inception, over 400 users have profited from its computing clusters, including undergraduate and graduate students. The users generated over 300 publications, including 100 papers in peer-reviewed journals (including Nature, Science, and other top-tier journals in their fields), 50 refereed conference papers, and 50 theses. 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.
The current machine in HPCF is the heterogeneous cluster taki comprising a CPU cluster with over 170 nodes, a GPU cluster with 19 nodes, and an 8-node Big Data cluster. The CPU cluster consists of 42 compute nodes with two 18-core Intel Skylake CPUs and 384 GB of memory each, 49 compute nodes with two 8-core Intel Ivy Bridge CPUs and 64 GB of memory each, and 82 compute nodes with two 4-core Intel Nehalem CPUs and 24 GB of memory each. The GPU cluster contains one node with four NVIDIA Tesla V100 GPUs connected by NVLink and 18 hybrid CPU/GPU nodes with two NVIDIA K20 GPUs. The 8 nodes in the Big Data cluster are equipped with two 18-core Intel Skylake CPUs, 384 GB of memory, and 48 TB disk distributed space across 12 hard drives each. 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, publications, resources for users, and contact information.