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cluster:181 [2019/08/02 14:35] hmeij07 [2019 GPU Models] |
cluster:181 [2019/08/07 14:30] hmeij07 [2019 GPU Models] |
* [[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]] |
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| 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." |
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| **Keep track of these** |
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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?). |
| - 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). |
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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:0|Back]]** | **[[cluster:0|Back]]** |