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$ hipify-perl hello.cu > hello.hip.cucpp

When using a CUDA backend for compiling, note how the .cu extension has to be kept, to allow for the subsequent compilation with a CUDA backend. On the other hand, when using a ROCm backend for compiling, HIP source files typically have the .cpp extension.

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HIP code can be compiled by using the hipcc compiler provided by AMD ROCm:

$ hipcc --offload-arch=<architecture> hello.hip.cu cpp -o helloHIP

The code can be executed in an interactive SLURM session or within a batch job. An explicit request to use one or more GPUs is required. Terminal 1 shows an interactive session on GarrawarlaSetonix:

Column
width900px


Code Block
languagebash
themeDJango
titleTerminal 1. Run HIP code
$ salloc -N 1 -n 1 --gres=gpu:1 -p gpuq gpu-dev -A <project>-gpu -t 0:0110:00

$ module load rocm craype-accel-amd-gfx90a

$ hipify-perl hello.cu > hello.hip.cpp

$ hipcc hip/<version>--offload-arch=gfx90a hello.hip.cpp -o helloHIP

$ export OMP_NUM_THREADS=1

$ srun -N 1 -n 1 -c 8 --gres=gpu:1 --gpus-per-task=1 --gpu-exportbind=allclosest ./helloHIP
Hello from GPU thread 0 in block 0
Hello from GPU thread 1 in block 0
Hello from GPU thread 2 in block 0
Hello from GPU thread 3 in block 0
Hello from GPU thread 4 in block 0
Hello from GPU thread 0 in block 1
Hello from GPU thread 1 in block 1
Hello from GPU thread 2 in block 1
Hello from GPU thread 3 in block 1
Hello from GPU thread 4 in block 1
Hello from GPU thread 0 in block 3
Hello from GPU thread 1 in block 3
Hello from GPU thread 2 in block 3
Hello from GPU thread 3 in block 3
Hello from GPU thread 4 in block 3
Hello from GPU thread 0 in block 2
Hello from GPU thread 1 in block 2
Hello from GPU thread 2 in block 2
Hello from GPU thread 3 in block 2
Hello from GPU thread 4 in block 2


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