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Lecture 1: Course Overview
This grad-level course seeks to:
- 1.Provide an overview of various advanced computing software and hardware solutions
- 2.Introduce CUDA for parallel computing on the Graphics Processing Unit (GPU)
- 3.Introduce the OpenMP solution to enabling parallelism across multiple CPU cores
- 4.Introduce the Message Passing Interface (MPI) standard for leveraging parallelism on a CPU cluster
- 5.Promote an understanding instrumental in deciding what parallel computing model is suitable for which problems.
Linux module usage
[dan@euler ~]$ gcc --version
gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-16)
...
[dan@euler ~]$ module load gcc/6.4.0
[dan@euler ~]$ gcc --version
gcc (GCC) 6.4.0
...
[dan@euler ~]$ nvcc main.cu -o cudaprogram
bash: nvcc: command not found
[dan@euler ~]$ module avail cuda
--------------/usr/local/share/modulefiles ---------------------
cuda/0_user/cuda cuda/7.5 cuda/8-rc cuda/9 cuda/9.1
cuda/7 cuda/8 cuda/8.0 cuda/9.0
[dan@euler ~]$ module load cuda/9
[dan@euler ~]$ nvcc main.cu -o cudaprogram
[dan@euler ~]$ module list
Currently Loaded Modulefiles:
1) gcc/6.4.0 2) gcc/0_cuda/6.4.0 3) cuda/9
[dan@euler ~]$ module unload cuda gcc
[dan@euler ~]$ nvcc
bash: nvcc: command not found
Slurm is used on Euler for job management and scheduling.
Example of a Slurm-specific batch script
#!/usr/bin/env bash # intepret file as bash script
#SBATCH --job-name=HelloScript
#SBATCH-p wacc # a partition is a logical chunk of cluster
#SBATCH --time=0-00:00:10
#SBATCH --output=“hello_output-%j.txt”
#SBATCH --ntasks=1 --cpus-per-task=1 # simple jobs: one core suffices
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=8 # for mpi
#SBATCH --cpus-per-task=4 # multithreaded jobs
#SBATCH --gres=gpu:1 # gres: Generic RESource
# --gres=type[:model]:N
# e.g., gpu:gtx1080:3or infiniband:1
#SBATCH --constraint=haswell
# regular bash script
cd $SLURM_SUBMIT_DIR # directory where the script is submitted from
name_str=“World”
echo “Hello, $name_str!”
sbatch (Slurm batch) usage
[dan@euler~]$ sbatch hello_slurm.sh # submit a scheduling script to Slurm
Submitted batch job 1975385
[dan@euler~]$ cat hello_output-1975385.txt
Hello, World!
[dan@euler~]$