The EMS Computational Research Support Program is intended to expand access to high-performance computing resources and accelerate the use of big data and big simulation methods in Earth and Mineral Sciences research. This program provides flexible compute credits for use on the Penn State Institute for Computational and Data Sciences ROAR system. The credit-based model allows researchers to adjust computing usage as needed, providing maximum flexibility for projects requiring intensive data analysis, modeling, or simulation.
Support Offered
Awards for computational research support are up to 2,000 ICDS compute credits that function as a form of payment on the ROAR system. Credits can be applied to on-demand usage of computing resources and are ideal for supporting time-sensitive simulations, model testing, or scaling up existing computational workflows. The award period is one year and any unspent balance at the end of the award period will be returned to the college for reallocation.
To learn how to use ROAR visit ICDS https://www.icds.psu.edu/. For questions about estimating compute needs contact Wayne Figurelle, wff3@psu.edu.
Eligibility
- Full-time EMS faculty member
- Only one application per faculty member per year.
- Faculty with existing, uncommitted compute allocations or access to discretionary computing resources are not eligible.
For questions about eligibility or the application process, please contact Karen Royer at klr9@psu.edu.
Submission Guidelines
- Requests may be submitted at any time through the InfoReady website: https://psu.infoready4.com/
- Application materials need to include:
- Requested number of ICDS compute credits
- Description of how computational resources will be used to benefit the faculty member’s scholarship of research (1 page maximum)
Review Criteria
Applications will be reviewed based on:
- Soundness and suitability of request
- Justification of computational needs and feasibility of the proposed plan
- Potential impact on scholarship of research, innovative research activities, attracting external funding, enhancing research collaborations
- Availability of credit funds