Technical Information
The requirements for applying for a sprint are summarized in a separate document.
Useful insights e.g. lessons learned as well as FAQ are continuously added.
Information from the natESM hands-on session of the DKRZ User Workshop October 2022:
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Input |
Download |
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1- CUDA, OpenACC, and more: Many ways lead to GPUs Dr. Andreas Herten, JSC |
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2- Performance analysis in a nutshell Michael Knobloch, JSC |
Executed Sprints
Already accepted sprints can be found here.
For information about the closed sprints beyond the PDF, please have a look in the Gitlab Wiki and in the Lessons learned.
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Modell |
Service Description |
Documentation |
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Analysis of ART code for GPU porting |
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Online coupling mHM into ICON using YAC |
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Optimise the data transfers between host (CPU) and device (GPU) |
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Port FESOM 2.1 to JUWELS booster and Levante- GPU |
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Port ParFlow to AMD GPUs, Inspection of RAPID Memory Manager and Hipification, Performance Analysis |