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en:services:application_services:high_performance_computing:running_jobs_slurm [2022/11/18 12:21] – [The GWDG Scientific Compute Cluster] venden:services:application_services:high_performance_computing:running_jobs_slurm [2023/06/21 10:14] – [GPU selection] skrey
Line 289: Line 289:
  
 <code> <code>
 +v100: Nvidia Tesla V100
 +rtx5000: Nvidia Quadro RTX5000
 gtx1080 : GeForce GTX 1080  gtx1080 : GeForce GTX 1080 
-gtx980  : GeForce GTX 980 +gtx980  : GeForce GTX 980 (only in the interactive partition gpu-int)
-k40     : Nvidia Tesla k40+
 </code> </code>
  
-Most GPUs are commodity graphics cards, and only provide good performance for single precision calculations. If you need double precision performance, or error correcting memory (ECC RAM), you can select the Tesla GPUs with+Most GPUs are optimized for single precision calculations. If you need double precision performance, or error correcting memory (ECC RAM), you can select the data center (Tesla) GPUs with
 <code> <code>
 #SBATCH -p gpu #SBATCH -p gpu
-#SBATCH -G k40:2+#SBATCH -G v100:1
 </code> </code>
-Our Tesla K40 are of the Kepler generation. 
  
 <code> sinfo -p gpu --format=%N,%G </code> shows a list of host with GPUs, as well as their type and count. <code> sinfo -p gpu --format=%N,%G </code> shows a list of host with GPUs, as well as their type and count.