Director’s Discretionary Allocation Program

mMolecular dynamics simulations based on machine learning

Molecular dynamics simulations based on machine learning help scientists learn about the movement of the boundary between ice grains (yellow/green/cyan) and the stacking disorder that occurs when hexagonal (orange) and cubic (blue) pieces of ice freeze together. Image: Henry Chan and Subramanian Sankaranarayanan, Argonne National Laboratory

The ALCF Director’s Discretionary (DD) program provides “start up” awards to researchers working to achieve computational readiness for for a major allocation award.

The DD program is dedicated to helping researchers prepare for a major allocation award through INCITE, ALCC, or ADSP. DD projects allow users to improve application performance to maximize scientific application efficiency and productivity on the ALCF’s leadership computing platforms. Projects must demonstrate a need for leadership-class resources.

Open to researchers from industry, academia, and government agencies, DD awards are available year-round and are usually between three and six months in duration. The size of the award varies based on the application and its readiness/ability to scale.

Apply for a DD award

Application Details

Eligibility:
Available to researchers from universities, industry, and government agencies DOE sponsorship is not required.
Award size:
Small
Duration:
3-6 months (renewable)
Allocation cycle:
Ongoing (available year-round)
Quartery reports:
No
End of allocation reports:
No