Learn More about Lighthouse
UW has received a discretionary allocation of computational resources through ALCF to support University of Wyoming researchers who would like to try out Argonne National Lab's world-class computing resources for their work.
Should you consider an account?
The University of Wyoming Lighthouse allocation is intended to serve as an on-ramp for researchers at UW who would like to test and experiment using Argonne National Lab computing resources. Utilization of resources through Lighthouse would also help prepare researchers for their own major allocation awards through Argonne's INCITE and ALCC programs.
Best fit for:
ALCF Resources are ideal for ARCC users who need to scale GPU resources beyond what is often available on the ARCC's Medicinebow cluster, or those who need access to specialty AI accelerators available through their ALCF's AI Testbed.
Are you interested in trying it out?
Interested parties should first request to be added to the UW Lighthouse allocation as indicated below. Instructions are dependent upon the requestors account status:
If you do not have an ALCF account |
If you have an expired ALCF account |
If you have an active ALCF Account |
|
|
|
|
|
|
Approval is subject to availability of project resources.
|
Links to ALCF Documentation
Click below for an overview of ALCF resources
ALCF resources include leadership-class supercomputing, visualization clusters, advanced
data storage, high performance networking, and a wide variety of software tools and
services to help users achieve their science goals.
Click below to learn more about Argonne's newest Exascale Supercomputer, Aurora
Aurora is one of the world's first exascale supercomputers, able to perform over a quintillion calculations per second. As one of the worlds fastest supercomputers, it gives the global science community a powerful new research tool with unprecedented abilities for simulations, AI, and data analysis.
Click below to be redirected to ALCF's Getting Started on Aurora Guide
This guide helps new users with logging in, and running jobs on Aurora. Readers may also reference information about Aurora's hardware, and programming environment from here.
Click below for a list of ALCF User Guides and Documentation
ALCF user-facing documentation source material is hosted on GitHub to facilitate contributions and issue reporting from the community.