In late 2013, the National Institute of Aeronautics was tasked by the local Hampton Economic Development Authority to design, procure, deploy, and provide ongoing management for an HPC cluster that would become a shared resource for local researchers and students.
TGen needed a high performance computing (HPC) management solution that could be used across numerous clusters, which were custom-designed to meet the demands of large-scale genomics research.
When the University of Colorado at Boulder needed to upgrade and expand its high performance computing (HPC) cluster for mechanical engineering research, they wanted to take the opportunity to solve some of the problems they’d been experiencing. They boosted cluster performance by more than 10% for some users, while eliminating a laundry list of annoying issues that previously had a negative effect on the important research being conducted.
MSU’s Information Technology Center’s Research Cyberinfrastructure (RCi) group was charged with building a shared community computing resource. Their goal was to build a flexible infrastructure that would let them offer compute and storage services at an affordable price.
This case study describes how system administrators at the Research Center for Molecular Medicine (Austrian Academy of Sciences) gained productivity while lowering cost with high performance computing (HPC).
Upgrading a cluster and installing new software can be a challenge, especially when you don’t have many resources at your disposal. The Institute of Aircraft Design in Stuttgart standardized on Bright Cluster Manager to greatly enhance the usability of its high performance computing (HPC) cluster.
The University of Maryland, Baltimore County (UMBC) revolutionized the way it builds and operates its High Performance Computing Facility using Bright Cluster Manager. By entrusting this critical facility to Bright, UBMC staff has more time to focus on mission- critical tasks.
The BioMed X Innovation Center needed a high performance supercomputer to support projects dealing with data analysis, the development of novel computational methods, and the investigation of protein-ligand complex structures, using molecular dynamics simulations and docking calculations.
FAU's skilled IT team faces high demand from students and faculty, who are using Ko’Ko’s resources for teaching Map Reduce, pursuing bioinformatics research and other modeling and visualization work.