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cluster:215 [2023/11/16 13:58] hmeij07 [Miniconda3-py311] |
cluster:215 [2024/05/08 15:12] hmeij07 [Miniconda3-py311] |
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https:// | https:// | ||
https:// | https:// | ||
+ | |||
+ | |||
+ | ===== Miniconda3-py312 ===== | ||
+ | |||
+ | |||
+ | * module: miniconda3/ | ||
+ | * Miniconda framework with python 3.12.1 | ||
+ | * module show miniconda3/ | ||
+ | * https:// | ||
+ | * weirlab (sakkas) | ||
+ | |||
+ | < | ||
+ | |||
+ | module load miniconda3/ | ||
+ | conda list | grep pymol | ||
+ | |||
+ | pymol | ||
+ | pymol-bundle | ||
+ | pymol-web-examples | ||
+ | |||
+ | </ | ||
+ | |||
+ | |||
+ | ===== Crest/XTB ===== | ||
+ | |||
+ | * https:// | ||
+ | * https:// | ||
+ | * module: crest/2.12 | ||
+ | * used xtb's module file | ||
+ | * linked crest in $XTBHOME/ | ||
+ | |||
+ | * ' | ||
+ | * northroplab | ||
+ | |||
+ | < | ||
+ | |||
+ | [hmeij@cottontail2 ~]$ module load crest/2.12 | ||
+ | [hmeij@cottontail2 ~]$ crest --version | ||
+ | |||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | | ||
+ | Using the xTB program. Compatible with xTB version 6.4.0 | ||
+ | |||
+ | |||
+ | </ | ||
===== Python ===== | ===== Python ===== | ||
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</ | </ | ||
- | * **mdtraj, matplotlib, pandas** | + | |
< | < | ||
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</ | </ | ||
+ | * ** hoomd, cuda ** | ||
+ | * hoomd v4.3.0 with cuda toolkit 11.6 | ||
+ | * https:// | ||
+ | * multi-gpu | ||
+ | * https:// | ||
+ | * FAQ: My simulation does not run significantly faster on exactly two GPUs compared to one GPU. | ||
+ | * This is expected. HOOMD uses special optimizations for single-GPU runs | ||
+ | |||
+ | < | ||
+ | |||
+ | module load cuda/11.6 | ||
+ | which nvcc | ||
+ | echo $CUDA_HOME | ||
+ | |||
+ | module load miniconda3/ | ||
+ | |||
+ | export CONDA_OVERRIDE_CUDA=" | ||
+ | which conda | ||
+ | conda install " | ||
+ | |||
+ | cudatoolkit | ||
+ | hoomd | ||
+ | |||
+ | # starrlab | ||
+ | |||
+ | [hmeij@n100 ~]$ python3 | ||
+ | Python 3.11.5 | packaged by conda-forge | (main, Aug 27 2023, 03:34:09) [GCC 12.3.0] on linux | ||
+ | Type " | ||
+ | >>> | ||
+ | >>> | ||
+ | >>> | ||
+ | >>> | ||
+ | >>> | ||
+ | True | ||
+ | >>> | ||
+ | |||
+ | </ | ||
+ | |||
+ | * **seaborn** | ||
+ | * https:// | ||
+ | * statistical data visualization | ||
+ | * also on centos7 counterpart | ||
+ | |||
+ | |||
+ | < | ||
+ | |||
+ | Successfully installed seaborn-0.13.0 | ||
+ | [hmeij@cottontail2 ~]$ python3 | ||
+ | Python 3.11.5 | packaged by conda-forge | (main, Aug 27 2023, 03:34:09) [GCC 12.3.0] on linux | ||
+ | Type " | ||
+ | >>> | ||
+ | >>> | ||
+ | |||
+ | </ | ||
===== Pytraj ==== | ===== Pytraj ==== | ||
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===== Lammps ===== | ===== Lammps ===== | ||
+ | |||
+ | * module: lammps/ | ||
+ | * supports openmp, feature release versus the normal stable release | ||
+ | * includes colloid class2 kspace misc molecule ml-pace reaction mc packages and gpu for cuda | ||
+ | * queues amber128 and test only (cuda 11.6) | ||
* module: lammps/ | * module: lammps/ |