Overview of Compute Project Categories and Links to Submission Forms
Please find a tabular description of the available project categories and links to the submission forms below. As an overview the competence network HPC.NRW developed Quick Reference Cards for illustration of the application, approval and allocation process. If you already have a project please consider the information regarding project extensions here. The following figure might help to find the best project category.
Prinicipal Investigators (PIs) are supposed to be leading scientists with a doctoral degree or a permanent position who are qualified to also take part in the scientific reviewing process. Only contact data of the institute are accepted (email, address, etc.). Please do not use your private contact data.
Please note: If the PI uses a trusted email address (fz-juelich or rwth-aachen domain) the submission can be finalized by the PI online (without paper).
Otherwise do not forget to also upload a signed version of your proposal to JARDS. You can also or email a signed an version to firstname.lastname@example.org using the mail subject "Application for Compute Time No. xxxx" after the online submission!
Submission and Reviewing Procedures
|Computers (***)||max monthly|
cpu time quota
[Mio core-h per month]
max annual/per project
Project categories for all applicants from any German public or government-approved university (including RWTH Aachen University)
(large research computing project)
Quaterly submission as described here.
12 - 50 per project
GPU: max. 4 Mio core-h
(200 total per year for all projects)
(medium size research computing project)
Continuous submission as described here (****).
1 - 1 per project
GPU: max. 2 Mio core-h
(100 total per year for all projects)
Prep / Test
(test / preparation of a large research computing projects)
Continuous submission as described here.
1 per project
(max. 6 months for testing / preparing larger proposal)
Project Categories for applicants from Forschungszentrum Jülich and RWTH Aachen University
(small research computing projects)
GPU: max. 0.12 Mio core-h
(bachelor and master thesis, personal study practice, not for PhD thesis)
|CLAIX-2018||n/a||0.048 per project|
(education, lectures, seminars, group practica)
|CLAIX-2018||n/a||0.048 per project|
|RWTH open (employees)|
available by default to scientists of
|RWTH open (students)||available by default to students of|
RWTH Aachen University
Note: You can apply for GPU resources for every project category. These GPU resources are not accounted in a specific like "GPU hours (GPU-h)" metric, but mapped into core hours of the host processors. At the moment one GPU-h coresponds to 24 CPU-h. Applications requesting a higher amount of GPU resources are to be submitted in the corresponding larger project categories (NHR-N, NHR-L). You can specify the percentage of GPU usage during the application.
(*) Applicants are responsible for providing any necessary software licence, please find more information here.
(**) While technical reviewing and setting up the project typically takes up to one week, scientific reviewing depends on the response time of the reviewers and typically takes about one month. Therefore an initial quota is set up when the technical review is finished. It is increased as approved by the reviewers.
(***) Systems listed in these column are the defaults for the corresponding category. Please let us know if you have specific requierments for you compute time project (e.g., special system, memory requierments, etc.).
(****) A „call“ for new NHR projects will occur quarterly, with the intention that – for NHR Normal – preliminary resources can be granted quickly, while the final granting decision will be made in conjunction with the final decisions about NHR Large projects by the NHR/NHR4CES panel (meets quarterly). Thus, a belated decrease of computing resources is possible.