Parallel Computing using Shared GPUs

OpenMP, MPI and SLURM on Northeastern's Discovery Cluster

C Code built and run using the Code Blocks IDE

Please switch to a Compute node
```
$ srun --pty /bin/bash
```
load the anaconda module on your profile type the following:
```
$ module load anaconda3/3.7
```

To create your environment, type the following:

$ conda create -n conda_env python=3.7 anaconda

Here conda_env is the name you choose to give your environment.

Tip: to see a list of all of your conda environments, type conda info -e.

Switch to the bash folder and install the prerequisite Anaconda Packages
```
$ ./conda_prereq.sh
```
Run the run_slurms script
```
$ ./run_slurms.sh
```

Warning! ⚠️ Keep an eye on the batch jobs schedule. The python job should remain in queue and run last!

Check your code results in the outputs folder specified below
```
$ cd ../slurm/outputs
$ ll
```
Check for any bugs logged in the errorrs folder specified below
```
$ cd ../errors
$ ll
```

License

Northeastern University

Srinjoy Chakravarty

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
bash		bash
matrix		matrix
mpi		mpi
openmp		openmp
python		python
slurm		slurm
README.md		README.md