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Golden Energy Computing Organization
Faculty/PI Proposals for Allocations on Ra

The Golden Energy Computing Organization (GECO) invites CSM faculty and associated research groups to submit proposals for use of the high performance computing (HPC) cluster, Ra. This Mines platform is dedicated to discovering new ways of meeting the energy needs of our society and is supported by the school in order to advance energy science research.

Ra is a Linux cluster composed of 2144 Intel cores (268 nodes of 8 cores each), an Infiniband fabric, and 300 TB of disk space. The machine is rated at 23 TF (17 TF sustained). The intended use of the machine is for large, parallel processing jobs using the message passing interface (MPI). Both Intel and PGI compiler suites are supported with PGI and DDT parallel debuggers.

GECO supports a website that includes an extensive help section to get new users started: http://geco.mines.edu/guide.html. GECO will be offering a one-week, half day, training course that new users are encouraged to attend. Single day quick start courses will also be offered for those familiar with working on parallel systems. GECO staff will also help users to install their software and get them up and running. However, users are responsible for the licensing of any commercial software that they require. Ra is not intended for single-node applications, and prospective users should be looking for a large-scale parallel environment to help advance their research agenda.

Proposals can be submitted using the form below.

For questions please contact Dr. Timothy Kaiser at:  tkaiser at mines.edu

All fields are required except where noted as optional.
JavaScript must be enabled to submit a Proposal.

Part 1: Project Administration

Project Title: 
Submitter's Name: 
Email Address: 

Allocation hours:
Disk Space:
Faculty/PI experience with HPC environments:
Average number of cores per job:
Average compute time per job:
Commercial Software to be used:
(must be provided by investigator) 
Open Source Software to be used :
Scaling Information Plot (optional):
Enter an URL to documentation showing the scalability of your application
   
Comments (optional):

Part 2: Research Summary
   
Project Overview:
    Energy Theme:
    Project sponsor if funded externally:
    Impact of proposed research:
Part 3: Faculty or PI CV
    Faculty or PI CV (one page):
Paste here or alternatively, you may enter an URL to your CV in pdf format.
Click the SUBMIT button to send your Request. JavaScript must be enabled to submit.



  • You will receive an email confirmation if your Proposal Request is successfully registered.
  • Once your propsal has been approved, you will recieve a Proposal Number.
  • There is no need to reply to this email.


Please contact the Computer Commons Front Desk (CTLM 156A or 303-273-3431) if you experience problems using this form.
If you have questions, comments or need additional help please call the AC&N Front Desk at 303-273-3431.
Last Modified: July 31, 2009		 Text only page