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CUDA: Difference between revisions
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== Quick start guide == <!--T:39--> | == Quick start guide == <!--T:39--> | ||
===Compiling=== | |||
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Here we show a simple example of how to use the CUDA C/C++ language compiler, <code>nvcc</code>, and run code created with it. For a longer tutorial in CUDA programming, see [[CUDA tutorial]]. | Here we show a simple example of how to use the CUDA C/C++ language compiler, <code>nvcc</code>, and run code created with it. For a longer tutorial in CUDA programming, see [[CUDA tutorial]]. | ||
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</source> | </source> | ||
=== Submitting jobs=== | |||
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To run the program, create a Slurm job script as shown below. Be sure to replace <code>def-someuser</code> with your specific account (see [[Running_jobs#Accounts_and_projects|accounts and projects]]). For options relating to scheduling jobs with GPUs see [[Using GPUs with Slurm]]. | To run the program, create a Slurm job script as shown below. Be sure to replace <code>def-someuser</code> with your specific account (see [[Running_jobs#Accounts_and_projects|accounts and projects]]). For options relating to scheduling jobs with GPUs see [[Using GPUs with Slurm]]. | ||
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</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>. | ||
=== Linking libraries === | |||
If you have a program that needs to link some libraries included with CUDA, for example [https://developer.nvidia.com/cublas cuBLAS], compile with the following flags | |||
<source lang="console"> | |||
nvcc -lcublas -Xlinker=-rpath,$CUDA_PATH/lib64 | |||
</source> | |||
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