This tutorial will introduce Boston University’s Shared Computing Cluster (SCC) for use with Magnetic Resonance (MR) neuroimaging methods. It will address basic concepts in MR neuroimaging and give investigators the background required to start or optimize their research. We will work hands-on with the SCC to highlight the wide variety of neuroimaging tools available on the SCC and how to effectively utilize them for high-performance computing. Software covered includes FreeSurfer, FSL, AFNI, MRIcron, Nipype, MATLAB, SPM, and CONN. Topics covered include loading data onto the SCC, project management (directory structure/permissions), unpacking DICOMs, batch processing, and interactive environments (VNC & VirtualGL/OpenGL). It is recommended that you attend the “Introduction to BU’s SCC” tutorial if you are not a regular user of the SCC.