Using the ARM compilers on Ookami
Ookami users can take advantage of the ARM Allinea Studio software suite that includes a set of compilers, high performance math libraries, and performance profiling tools.
To use the ARM compilers, you must first be on a node with aarch64 CPU architecture.
Therefore, users should first either:
A) start an interactive Slurm job
or
B) ssh to one of the accessible aarch64 nodes
or
C) Alternatively, if no interactive session is desired, users may simply write and submit a Slurm job submission script to compile the code.
Once on an appropriate node, load the following module to access the latest Arm compilers:
module load arm-modules/version
This will add the armclang, armclang++, and armflang executables as well as the arm performance libraries to your $PATH.
Here, we will use an example matrix multiplication code to demonstrate the use of the armclang++ compiler. Because this code compiles without issue and does not require any interactive troubleshooting, we can write a Slurm script to compile and run the code:
#!/usr/bin/env bash
#SBATCH --job-name=arm_example
#SBATCH --output=arm_example.log
#SBATCH --ntasks-per-node=48
#SBATCH --nodes=1
#SBATCH --time=05:00
#SBATCH -p short
# unload any modules currently loaded
module purge
# make the ARM modules available
module load arm-modules/version
# copy the sample C++ code to the working directory
cp /lustre/projects/global/samples/ARM-sample/mm.cpp $SLURM_SUBMIT_DIR
# compile the code using the ARM C++ compiler
armclang++ mm.cpp -o mm
# run the code on an 1000 x 1000 x 1000 matrix
./mm 1000 1000 1000
Let's call this script "arm-example.slurm" and submit it with sbatch:
sbatch arm-example.slurm
Once the job has run, you should see something similar to the following in the job's log file ("arm_example.log"), indicating that the matrix multiplication code has compiled and run sucessfully:
Set up of matrices took: 0.182 seconds
Performing multiply
Naive multiply took: 20.884 seconds
Example code for testing the ARM compilers can be copied from the following directory:
/lustre/projects/global/samples/ARM-sample