Difference between revisions of "MARVIN Cluster"

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| python 3.8.3  
| python 3.8.3  
| /opt/ohpc/pub/utils/python/3.8.3
| /opt/ohpc/pub/utils/python/3.8.3
| module load python/3.8.3
* module load python/3.8.3
* See the [[#Manage_Modules_in_Your_Python_Virtual_Environment| Manage Modules in Your Python Virtual Environment]] section on installing python modules in your own environment.

Revision as of 14:42, 29 May 2020

This is a private cluster.


  • Head node: marvin.cac.cornell.edu.
  • access modes: ssh
  • OpenHPC v1.3.8 with CentOS 7.8
  • 86 compute nodes with Dual 6-core X5670 CPUs @ 3 GHz, Hyperthreaded, 24 GB of RAM; 3 high memory nodes with 96 GB of RAM
  • Cluster Status: Ganglia.
  • "Why use a temporary directory?"
  • Submit HELP requests: Help OR by sending email to: help@cac.cornell.edu

File Systems

Home Directories

  • Path: ~

User home directories are hosted on the head node and exported to the compute nodes via NFS. Unless special arrangements are made, data in user home directories are NOT backed up.

Globus Access

User home directories can be accessed on Globus. Under "File Manager" tab in Globus web GUI:

  1. Access "cac#marvin" endpoint.
  2. Authenticate using your CAC user name and password if prompted.


  • The cluster scheduler is Slurm. See Slurm documentation page for details.
  • Note: hyperthreading is enabled on the cluster, so Slurm considers each physical core to consist of two logical CPUs. See the slurm options section for using the correct options for your job.
  • Partitions:
Name Description Time Limit
viz 3 visualization Ensight Servers, each has 96GB RAM none
normal (default) all nodes except for those in viz queue none
all all cluster nodes none


Work with Environment Modules

Set up the working environment for each package using the module command. The module command will activate dependent modules if there are any.

To show currently loaded modules: (These modules are loaded by default system configurations)

-bash-4.2$ module list

Currently Loaded Modules:
  1) autotools   2) prun/1.3   3) gnu8/8.3.0   4) openmpi3/3.1.4   5) ohpc

To show all available modules (as of Sept 30, 2013):

-bash-4.2$ module avail

-------------------- /opt/ohpc/pub/moduledeps/gnu8-openmpi3 --------------------
   fftw/3.3.8    hypre/2.18.1

------------------------ /opt/ohpc/pub/moduledeps/gnu8 -------------------------
   impi/2019.7.217    mpich/3.3.1       openblas/0.3.7        pdtoolkit/3.25
   metis/5.1.0        mvapich2/2.3.2    openmpi3/3.1.4 (L)    superlu/5.2.1

-------------------------- /opt/ohpc/pub/modulefiles ---------------------------
   autotools          (L)    gnu8/8.3.0       (L)    prun/1.3          (L)
   charliecloud/0.11         intel/2020.1.217        python/3.8.3
   clustershell/1.8.2        ohpc             (L)    singularity/3.4.1
   cmake/3.15.4              papi/5.7.0              valgrind/3.15.0
   ensight/10.1.4a           pmix/2.2.2              visit/3.0.1

   L:  Module is loaded

Use "module spider" to find all possible modules.
Use "module keyword key1 key2 ..." to search for all possible modules matching
any of the "keys".

To load a module and verify:

-bash-4.2$ module load visit/3.0.1
-bash-4.2$ module list

Currently Loaded Modules:
  1) autotools   3) gnu8/8.3.0       5) ohpc
  2) prun/1.3    4) openmpi3/3.1.4   6) visit/3.0.1

Manage Modules in Your Python Virtual Environment

python 3.8.3 is installed. Users can manage their own python environment (including installing needed modules) using virtual environments. Please see the documentation on virtual environments on python.org for details.

Load python/3.8.3 module

First load python/3.8.3 to select python 3.8.3:

module load python/3.8.3

Create Virtual Environment

You can create as many virtual environments, each in their own directory, as needed.

python3 -m venv <your virtual environment directory>

Activate Virtual Environment

You need to activate a virtual environment before using it:

source <your virtual environment directory>/bin/activate

Install Python Modules Using pip

After activating your virtual environment, you can now install python modules for the activated environment:

  • It's always a good idea to update pip first:
pip install --upgrade pip
  • Install the module:
pip install <module name>
  • List installed python modules in the environment:
pip list modules
  • Examples: Install tensorflow and keras like this:
-bash-4.2$ python3 -m venv tensorflow
-bash-4.2$ source tensorflow/bin/activate
(tensorflow) -bash-4.2$ pip install --upgrade pip
Collecting pip
  Using cached https://files.pythonhosted.org/packages/30/db/9e38760b32e3e7f40cce46dd5fb107b8c73840df38f0046d8e6514e675a1/pip-19.2.3-py2.py3-none-any.whl
Installing collected packages: pip
  Found existing installation: pip 18.1
    Uninstalling pip-18.1:
      Successfully uninstalled pip-18.1
Successfully installed pip-19.2.3
(tensorflow) -bash-4.2$ pip install tensorflow keras
Collecting tensorflow
  Using cached https://files.pythonhosted.org/packages/de/f0/96fb2e0412ae9692dbf400e5b04432885f677ad6241c088ccc5fe7724d69/tensorflow-1.14.0-cp36-cp36m-manylinux1_x86_64.whl
Successfully installed absl-py-0.8.0 astor-0.8.0 gast-0.2.2 google-pasta-0.1.7 grpcio-1.23.0 h5py-2.9.0 keras-2.2.5 keras-applications-1.0.8 keras-preprocessing-1.1.0 markdown-3.1.1 numpy-1.17.1 protobuf-3.9.1 pyyaml-5.1.2 scipy-1.3.1 six-1.12.0 tensorboard-1.14.0 tensorflow-1.14.0 tensorflow-estimator-1.14.0 termcolor-1.1.0 werkzeug-0.15.5 wheel-0.33.6 wrapt-1.11.2
(tensorflow) -bash-4.2$ pip list modules
Package              Version
-------------------- -------
absl-py              0.8.0  
astor                0.8.0  
gast                 0.2.2  
google-pasta         0.1.7  
grpcio               1.23.0 
h5py                 2.9.0  
Keras                2.2.5  
Keras-Applications   1.0.8  
Keras-Preprocessing  1.1.0  
Markdown             3.1.1  
numpy                1.17.1 
pip                  19.2.3 
protobuf             3.9.1  
PyYAML               5.1.2  
scipy                1.3.1  
setuptools           40.6.2 
six                  1.12.0 
tensorboard          1.14.0 
tensorflow           1.14.0 
tensorflow-estimator 1.14.0 
termcolor            1.1.0  
Werkzeug             0.15.5 
wheel                0.33.6 
wrapt                1.11.2 

Software List

Software Path Notes
*GNU Compilers 8.3.0 /opt/ohpc/pub/compiler/gcc/8.3.0 module load gnu8/8.3.0
*openmpi 3.1.4 /opt/ohpc/pub/mpi/openmpi3-gnu8/3.1.4 or /opt/ohpc/pub/mpi/openmpi3-intel/3.1.4 module load openmpi3/3.1.4
Intel Parallel Studio XE 2020.1.217 /opt/ohpc/pub/compiler/intel/2020/ module swap gnu8 intel/20.1.2017
Intel MPI 2020.1.217 /opt/ohpc/pub/compiler/intel/2020/compilers_and_libraries_2020.1.217/linux/mpi module load impi/2020.1.217
mvapich2 2.3.2 /opt/ohpc/pub/mpi/mvapich2-gnu/2.3.2 or /opt/ohpc/pub/mpi/mvapich2-intel/2.3.2 module load mvapich2/2.3.2
fftw 3.3.8 /opt/ohpc/pub/libs/gnu8/openmpi3/fftw/3.3.8 or /opt/ohpc/pub/libs/gnu8/mvapich2/fftw/3.3.8 module load fftw/3.3.8
hypre 2.18.1 /opt/ohpc/pub/libs/gnu8/openmpi3/hypre/2.18.1, /opt/ohpc/pub/libs/gnu8/impi/hypre/2.18.1, /opt/ohpc/pub/libs/intel/openmpi3/hypre/2.18.1, or /opt/ohpc/pub/libs/intel/impi/hypre/2.18.1 module load hypre/2.18.1
ensight 10.1.4a /opt/ohpc/pub/apps/ensight/10.1.4a module load ensight/10.1.4a
VisIt 3.0.1 /opt/ohpc/pub/apps/visit/3.0.1/bin module load visit/3.0.1
python 3.8.3 /opt/ohpc/pub/utils/python/3.8.3