The Supercomputing facility attached to the Computational Neuroscience lab at the School of Biotechnology provides state of the art computing, storage, and visualization facilities supporting projects spanning the School’s various projects and as a backbone for large scale neural computation studies at the computational neuroscience laboratory. Supercomputing facilities currently support applications from such diverse fields as computational neuroscience, virtual laboratories, bioinformatics, molecular modeling and computer-aided drug design. The current facility consists of multiple large-scale clusters of blade computing nodes, sometimes called a “Beowulf” system, that has supercomputer performance. A test cluster called “Soma” is used by students and a larger cluster “Atma” is used for research facility. The lab also houses the GPU personal supercomputing facility supported by NVIDIA Titan X, Kepler K20, Tesla C2075, K20 and NVIDIA GTX 480 cards.
The laboratory allows students and researchers to have hands-on experience in administration, modeling, parallelizing and simulating on cutting-edge resource-intensive projects. Ongoing projects on the cluster facility include multi-scale modeling of cerebellar microcircuits, reconstruction of field potentials, brain activity, database processing and analysis.