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cluster:181 [2019/08/13 08:12]
hmeij07 		cluster:181 [2019/08/13 08:15]
hmeij07 [2019 GPU Models]
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 |  FP64?  |  -  |  some  |  -  |  some  |  -  |  yes  |  yes  |  -  |double precision| |  FP64?  |  -  |  some  |  -  |  some  |  -  |  yes  |  yes  |  -  |double precision|
  
-A lot of information comes from this web site [[https://blog.exxactcorp.com/whats-the-best-gpu-for-deep-learning-rtx-2080-ti-vs-titan-rtx-vs-rtx-8000-vs-rtx-6000/|Best GPU for deep learning]].  Deep learning (training and inference) are driving the GPU models more towards single precision (FP32) or even half precision (FP16) to speed up training. Double precision models (the P100 and V100) are still available but there is a scientific drive towards mixed precision applications (FP64/FP32 or FP32/FP16).+A lot of information comes from this web site [[https://blog.exxactcorp.com/whats-the-best-gpu-for-deep-learning-rtx-2080-ti-vs-titan-rtx-vs-rtx-8000-vs-rtx-6000/|Best GPU for deep learning]].  Deep learning (training and inference) are driving the GPU models more towards single precision (FP32) or even half precision (FP16) to speed up training. Double precision models (the P100 and V100) are still available but there is a scientific drive towards mixed precision applications (FP64/FP32 or FP32/FP16 or even integer mixes).
  
 Bench statistics (Nvidia GTX 1070 is about 100% baseline) from this web site [[https://gpu.userbenchmark.com/Faq/What-is-the-effective-GPU-speed-index/82|External Link]] Bench statistics (Nvidia GTX 1070 is about 100% baseline) from this web site [[https://gpu.userbenchmark.com/Faq/What-is-the-effective-GPU-speed-index/82|External Link]]
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   -  does Amber run on the T4, the web site lists "Turing (SM_75) based cards require CUDA 9.2 or later." but does not list the T4 (too new?).   -  does Amber run on the T4, the web site lists "Turing (SM_75) based cards require CUDA 9.2 or later." but does not list the T4 (too new?).
-  - Gaussian g16c01 AVX enabled linux binaries - no linda "Platforms marked with † include GPU support for NVIDIA K40, K80, //P100, and V100// boards with 12 GB of memory or higher. A version of NVIDIA drivers compatible with CUDA 8.0 or higher. We run CUDA 9.2, so ok, but OS platform 6.10 or 7.6 required? We're at 6.5 (n38-n45) or 7.5.10 (n33-n37, n78).+  - Gaussian g16c01 AVX enabled linux binaries - no linda "... include GPU support for NVIDIA K40, K80, //P100, and V100// boards with 12 GB of memory or higher. A version of NVIDIA drivers compatible with CUDA 8.0 or higher." We run CUDA 9.2, so ok, but OS platform 6.10 or 7.6 required? We're at 6.5 (n38-n45) or 7.5.10 (n33-n37, n78). Do not expect this to be a problem.
  
  
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cluster/181.txt · Last modified: 2019/08/13 08:15 by hmeij07

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