The Boston University Shared Computing Cluster (SCC) is the first Boston University high performance computing resource located off of the Boston University campus. The SCC is located in Holyoke, MA, site of the LEED Platinum certified Massachusetts Green High Performance Computing Center (MGHPCC) where energy is plentiful, clean, and inexpensive. Two pairs of 10Gigabit Ethernet network connections between the MGHPCC and the BU campus provide extremely fast data transfer between the two locations.
The SCC is a heterogeneous Linux cluster composed of both shared and Buy-in components. The system currently includes over 8,000 shared CPU cores, over 10,000 Buy-in CPU cores, a combined 240,000 GPU cores, and 6 petabytes of storage (approximately 90% of this is Buy-in storage) for research data. The SCC is suitable for high-performance computing in numerous disciplines, including bioinformatics, geographic information systems (GIS), statistics, data analysis, molecular modeling, scientific and engineering simulation, and visualization.
The first components of the system were delivered to the MGHPCC in January, 2013 and went into production use on June 10, 2013. Over the summer of 2013, the newer parts of our prior Katana cluster as well as various departmental and buy-in nodes were integrated into the system, with the BUMC LinGA system being integrated shortly thereafter.
Since its installation the SCC has grown immensely from 189 compute nodes in 2013 to 835 nodes in 2019 with similar growth in researchers using it and storage. In the first six years, researchers on 765 projects across 80 departments have done over 261 million hours of computation on the SCC! Much of this growth is a result of the extremely successful Buy-in Program, allowing researchers to acquire additional, standardized compute and storage resources to support their individual research projects.
SCC’s operating system is Linux CentOS 7.5. It was upgraded to this from CentOS 6 on June 12, 2019.
Please consult our pages on SCC system usage for information for both beginners and experienced users on using the SCC.