View source for Cuda on ALICE

==The GPU cluster nodes==

{{:GPU nodes}}

===CUDA and OpenACC Program Development===
In order to use the GPUs, you will need to program your jobs using the compute unified device architecture application platform interface (CUDA API) the OpenACC API is not jet supported on ALICE.

===Adding CUDA Configuration Files===
You will need to add configuration files to your ALICE account in order to create CUDA-based applications.
To add CUDA program development capabilities to your account, add the following source commands to your account’s configuration file:
For accounts using the bash, sh, or ksh shells:
*If you are using the gnu compiler (nvcc) with C and C++, add the following source command to your account’s .profile:
  ................
*If you are using the PGI compiler (pgfortran) with Fortran, add the following source command to your account’s .profile:
  etc ............

If you are uncertain which of these combination will best suit your needs, we recommend that you use one of the combinations listed below for program development.

===Single Node Programming===
For single node GPU program development, you may use the following API and programming language combinations.
For accounts using the bash, sh, or ksh shells:
*To use the CUDA API with the C or C++ programming languages:
#Add this source command to your account’s .profile
#Use nvcc as your C or C++ compiler.
*To use the CUDA API with the Fortan programming language:
etc ....

===Multiple Node Programming===
OpenMPI, which takes advantage of the Infiniband network, should be used when creating a multiple-node CUDA application based on MPI. OpenMPI also allows users to use different compilers.

Here are some examples of configuration files for CUDA program development.

For accounts using the bash, sh, or ksh shells:
*To use the CUDA API with the C or C++ programming languages:
#Add the following source commands to your account’s .profile:
#Use mpicc as your C compiler or use mpicxx as your C++ compiler.
*To use the CUDA API with the Fortan programming language:
etc ....

===Applications with GPU support===
The following applications have GPU support and can be run on HPC’s GPU cluster. To run these programs on the GPUs, you will need to add the application-specific configuration files to your account’s configuration file.

For accounts using the bash, sh, or ksh shells:
To add GROMACS (2019.3), add the following line to your account’s .profile:
 etc ....

===Requesting GPU nodes===
For details on how to request GPU-enabled nodes in your Slurm script, please see the section on requesting GPU nodes on the following page: [[Slurm|Running a Job on ALICE using Slurm]].