This month’s tips list the High Performance Computing (HPC) resources available to members of LSA. In addition to researchers in the natural sciences, many humanities and social science researchers benefit from using HPC to analyze textual corpora, analyze human or organizational relationships, and present information in novel and advanced ways.
- Cyberinfrastructure (CI) Days conference, November 13-14 — a no-cost, on-campus two-day conference bringing together more than 200 U-M researchers who rely on large-scale computational tools and methods for research. CI Days is an opportunity to learn more about advanced computing technologies that are helping to spur new discoveries and breakthroughs in a wide range of disciplines.
- LSA Research Support — The LSA Advocacy and Research Support Team provides in-person consultation, small group trainings, and support for a wide variety of HPC resources, all at no cost. Send us an email at firstname.lastname@example.org to let us know about your needs or to set up an initial consultation.
- Flux — The University’s large-scale computing cluster (supercomputer). LSA provides a no-cost Flux allocation for testing, experimentation, and low-volume usage; for heavier usage, Flux rates have been substantially reduced as of October 1st.
- XSEDE — a collection of supercomputers at various institutions around the country, XSEDE is available at no cost to U-M researchers and provides a much wider variety of hardware than is currently available on Flux.
- LSA Visualization Workstation — LSA, in partnership with the Department of Statistics, has a high end visualization workstation with multiple displays, scientific software, and GPUs available in 432 West Hall for walk-up or remote use. It is available for use by all LSA faculty, students, and staff at no cost. A special account is required in order to use this workstation; contact email@example.com to request an account.
- GPGPU Computing — Both Flux and the LSA Visualization workstation support General Purpose Graphical Processing Unit (GPGPU) computing via NVidia CUDA, which can dramatically speed up certain types of calculations. Please contact firstname.lastname@example.org if you would like to consult regarding how to leverage GPGPUs for your projects.
- CSCAR — The Center for Statistical Consultation and Research provides statistical consulting to researchers.
- SAND — The University Library’s Spatial and Numeric Data Services provides access to hardware, software, and consulting on Geographic Information Systems (GIS), other spatial data analysis, and spatial data sets.
- UM3D Lab — provides 3D simulation, digital fabrication, education, visualization, motion capture, modeling, animation, and application development.
- LSA Large Scale Research Storage — Provides 2 TB of storage space at no cost to any LSA faculty and GSRAs. Additional space is available for a nominal fee.
If you have a need that is not covered by one of the resources above, or to request additional information, please contact email@example.com.