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CUDA tutorial: Difference between revisions
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$ nvcc add.cu -o add | $ nvcc add.cu -o add | ||
</source> | </source> | ||
To run the program first create a Slurm job script called gpu_job.sh. | To run the program first create a Slurm job script called gpu_job.sh. See also [[Using GPUs with Slurm|using GPUs with Slurm]]. | ||
{{File | {{File | ||
|name=gpu_job.sh | |name=gpu_job.sh | ||
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#SBATCH --time=0-00:10 # time (DD-HH:MM) | #SBATCH --time=0-00:10 # time (DD-HH:MM) | ||
./add #name of your program | ./add #name of your program | ||
}} | }} | ||
Submit your GPU job to the scheduler with this command. | Submit your GPU job to the scheduler with this command. | ||
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$ sbatch gpu_job.sh | $ sbatch gpu_job.sh | ||
Submitted batch job 3127733 | Submitted batch job 3127733 | ||
</source>For information about the <code>sbatch</code> command and running and monitoring jobs see [[Running jobs|running jobs]]. | </source>For information about the <code>sbatch</code> command and running and monitoring jobs see the [[Running jobs|running jobs]] page. | ||
Once your job has finished you should see an output file similar to this. | Once your job has finished you should see an output file similar to this. | ||
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2+7=9 | 2+7=9 | ||
</source> | </source> | ||
If you run this without a GPU present you might see output like <code>2+7=0</code>. | If you run this without a GPU present you might see output like <code>2+7=0</code>. To learn more about what the above program does keep reading. | ||
=Introduction= <!--T:1--> | =Introduction= <!--T:1--> | ||