Julia language on triton¶
The Julia programming language is a high-level, high-performance dynamic programming language for technical computing, in the same space as e.g. MATLAB, Scientific Python, or R. For more details, see the web page https://julialang.org/ .
Julia is available in the module system. By default the latest stable release is loaded:
module load julia julia
Running Julia scripts as batch jobs is also possible. An example batch job is
Batch script for Julia job:
#!/bin/sh #SBATCH -p play #SBATCH -n 1 #SBATCH --time=00:01:00 #SBATCH --mem-per-cpu=1G module load julia srun julia juliascript.jl
Number of threads to use¶
By default Julia uses up to 16 threads for linear algebra (BLAS) computations. However, the julia module on triton sets the environment variable OMP_NUM_THREADS to 1, so only a single thread is used. If you wish to use more threads than that (e.g. you have launched a batch job with multiple threads per task with the “#SBATCH -c N” option), you can set the OMP_NUM_THREADS environment variable to some other value, or alternatively inside julia you can use the blas_set_num_threads() function.