Commit 3e02eabb authored by Maximilian Dolling's avatar Maximilian Dolling
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Merge branch 'patch-1' into 'master'

Update GPU-Cluster

See merge request ml-gfz/jour_fixes!4
parents d1a2869a 2659b74d
......@@ -29,3 +29,5 @@ copy | paste | this | line | !
2.8 | Deep learning with solar images | Single precision GPU with > 20 GB GPU memory (RTX Titan not 2080Ti) | Nvidia driver. Module loads for standard python software, Virtualenv. Horovod required for multi node computations | I suggest 4 GPUs per node not 8.
1.3 | Machine learning for numerical modelling, data assimilation and data inversion | Double precision GPU with > 10 GB GPU memory (e.g., V100) | Nvidia driver, cuda, Python, R, Tensorflow and Keras libs, NetCDF support (+ ncview), Climate Data Operators (CDO), tmux | --
2.4 | Full waveforms inversion for seismic wave propogation simulation | Single precison GPU with around 20 GB GPU memory | Nvidia driver,conda, hdf5, netcdf
3.6 | Atomistic simulation of (Geo-)materials | DP GPU preferred over SP | Nvidia drv, cuda, Python, MKL | for us at least 192 GB main memory, preferably more. Also, why not consider AMD EPYC instead of xeon? From a price/performance point of view
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