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cluster:181 [2019/08/02 14:35]
hmeij07 [2019 GPU Models] 		cluster:181 [2019/08/08 13:25]
hmeij07 [2019 GPU Models]
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   * [[https://www.nvidia.com/en-us/data-center/products/enterprise-server/|External Link]]   * [[https://www.nvidia.com/en-us/data-center/products/enterprise-server/|External Link]]
   * [[http://https://blog.inten.to/hardware-for-deep-learning-part-3-gpu-8906c1644664|Fp32, Fp16, INT8, INT4, Mixed Mode]]   * [[http://https://blog.inten.to/hardware-for-deep-learning-part-3-gpu-8906c1644664|Fp32, Fp16, INT8, INT4, Mixed Mode]]
 +      * very interesting peak performance FP32 gpu chart (RTX TITAN and RTX 6000 on top)
 +    * [[https://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html#framework|Training Guide for Mixed Precision]]
 +
 +From Lammps developer: "Computing forces in all single precision is a significant approximation and mostly works ok in homogeneous system, where there is a lot of error cancellation. Using half precision in any form for force computations is not advisable."
 +
 +From Gromacs web site: "GROMACS simulations are normally run in “mixed” floating-point precision, which is suited for the use of single precision in FFTW. The default FFTW package is normally in double precision."
 +
 +
 +**Keep track of these** 
 +
 +  -  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).
  
-Keep track of this; 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?). 
  
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cluster/181.txt · Last modified: 2019/08/13 12:15 by hmeij07

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