Exercises for the GPU Programming Essentials lecture for Curtin's HPC course.

The GPU programming language chosen is HIP, a C++ language extension part of the AMD ROCm software stack. Unfortunately, Fortran is not supported at this stage. All the exercises will be run on Setonix, which is equipped with AMD GPUs. If you have a NVIDIA Graphics Card on your local machine, then you will be able to run exercises by rewriting them in CUDA with minor modifications (in most cases, you can simply replace the cuda prefix with hip in API calls).

ROCm is available on Setonix through the rocm/5.2.3 module. To use it, run module load rocm/5.2.3. The compiler is hipcc, and must be invoked with the following flag: --offload-arch=gfx90a. Like so,

hipcc --offload-arch=gfx90a

#!/bin/bash


#SBATCH --ntasks=1
#SBATCH --gres=gpu:1
#SBATCH --time=00:02:00
#SBATCH --account=courses0100
#SBATCH --nodes=1
#SBATCH --partition=gpu

module load rocm/5.2.3

srun hipcc --offload-arch=gfx90a -o add vector_add/gpu_vector_add.cpp
srun ./add