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namd2023 [2024/03/04 19:39]
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namd2023 [2024/03/04 19:55] (current)
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 ==GPU== ==GPU==
  
-Here using the number of CPU cores available on the node (24/32/64) and one GPU (two or more GPUs ``devices 0,1,2,3`` scale poorly, not recommended or approved for AHPCC public use partitions). +Here we are using the number of CPU cores available on the node (24/32/64) and one GPU (two or more GPUs ``devices 0,1,2,3`` scale poorly, not recommended or approved for AHPCC public use partitions). This benchmark simulation scaled significantly with the CPU cores used up to the number of cores present.  A different test simulation didn't really scale at all and ``+p4`` was best.  It's not apparent to us from the input files why there is a difference. Test runs would be useful if you are going to do a lot of them.
-This is a simulation that takes about 3.5 GB of GPU memoryWith a smaller simulation that takes about 400 MB of GPU memory,  the CPUs used did not scale and were best around ``+p4``.+
  
 On the ``gpu72`` nodes with Intel 6130 and single NVidia V100, it's about 5 times faster than the best CPU version, so are a good use case.  On ``agpu72`` nodes with AMD7543 and single A100, it's only about 10% faster than 6130/V100, so that's not a good use case for the more expensive AMD/A100 nodes, unless gpu memory requires the newer GPU.  The even more expensive multi-gpu ``qgpu72`` nodes also don't scale well over single-gpu and are not a good use case. On the ``gpu72`` nodes with Intel 6130 and single NVidia V100, it's about 5 times faster than the best CPU version, so are a good use case.  On ``agpu72`` nodes with AMD7543 and single A100, it's only about 10% faster than 6130/V100, so that's not a good use case for the more expensive AMD/A100 nodes, unless gpu memory requires the newer GPU.  The even more expensive multi-gpu ``qgpu72`` nodes also don't scale well over single-gpu and are not a good use case.
namd2023.txt · Last modified: 2024/03/04 19:55 by root