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, HPC is applied to a diverse and ever-changing set of topics including ocean modeling, quantum and particle physics, health sciences, acoustics, mathematics, operations research, Bayesian computation (statistics), and econometrics.
Research Computing maintains many HPC resources which are free to use for faculty, staff and students working on research / classroom projects. We have two main HPC clusters, one on main-campus (sciclone) and one on VIMS campus (chesapeake). The combined double-precision floating point operations per second (or FLOPS) for all HPC resources between both campuses is about 600 TFLOPS, or 600 trillion per second.
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
- Jay Kanukurthy - [[w|jkanukurthy]] - Applications Analyst - ISC 1277
- J. Matt Kennedy - [[w|jmkennedy]] - Network, Filesystems and Data Specialist - ISC 1273
- Daanish Fiaz - [[w|dhfiaz]] - Systems Engineer - ISC 1279
- Malcolm Slaughter - [[w|mslaughter]] - Research Computing Specialist - 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)
