Research Computing at W&M

Research computing uses supercomputers and computer clusters to solve advanced computation problems that cannot be addressed using a typical workstation or laptop, because they are highly computation-intensive, data-intensive, or both. Questions of science with once unattainable answers are being simulated and manipulated using High-Perfomanc Computing (HPC), unveiling statistics and approximations that classic lab experiments cannot accommodate. At William & Mary, research computing is applied to a diverse and ever-changing set of topics including ocean modeling, quantum and particle physics, health sciences, data science, bioinformatics, acoustics, mathematics, operations research, Bayesian computation (statistics), and econometrics.

Research Computing maintains many computing resources which are free to use for faculty, staff and students working on research / classroom projects. We manage three computing clusters: our batch/slurm cluster (sciclone) and k8s cluster at main-campus and one cluster (chesapeake) at the VIMS Gloucester campus.

NOTE: For questions about obtaining access, using RC resources or general questons, please send an email to [[w|hpc-help]] so one of our staff members may assist you.

Research Computing Staff

Eric J. Walter - [[w|ejwalt]] - Executive Director of Research Computing - ISC 1275
Xiao Liang - [[w|xliang06]] - Assistant Director of Research Computing - ISC 1269
J. Matt Kennedy - [[w|jmkennedy]] - Network, Filesystems and Data Specialist - ISC 1273
Malcolm Slaughter - [[w|mslaughter]] - Research Computing Specialist - ISC 1277
John Carpenter - [[w|jccarpenter]] - HPC Systems Engineer - ISC 1279

Services

Use of High-Performance Computing clusters
Administration of Research data cold storage and archiving
Research software installation and support for lab & office computers
Assistance with computing related research grants and generation of hardware quotes
Help obtaining external computing resources (AWS cloud and ACCESS supercomputing resources)

Download/print the Research Computing Flyer (pdf)