EECS 570 Final Project
- ssh into greatlakes
- clone folder and cd into folder
source env.sh
make
This will create the sgemm
executable
- from project base directory
sbatch submit.sh
This command will output a job id number and create a file in the project base directory called slurm-<job_id>.out
. The .out
file will contain all output from the submit.sh
script.
Two lines:
./build/sgemm <kernel_number>
./gen_benchmark_results.sh
Only uncomment one line. First line will run individual kernel, second line will run all benchmarks
Line 11:
for kernel in {1..4}; do
Change {1..4}
accordingly to run the benchmarks you want. MUST start at 1.
After running gen_benchmark_results.sh
through sbatch
run python3 plot_benchmark_results.py
to generate plot (DO NOT run python script through Slurm)
- Uncoalesced memory access
- Coalesced memory access
- Basic shared-memory tiled
- Async shared-memory tiled (NO overlap)
- Overlaped async shared-memory tiled (i.e producer-consumer)
View your running jobs
squeue --user=<uniqname>
View running jobs on spgpu
partition (spgpu
is the Slurm partition with A100 gpus)
squeue --partition=spgpu
View running jobs in EECS 570 class account
squeue --account=eecs570s001wn25_class
View billing information for 570 class
my_account_billing eecs570s001w25_class
Cancel a Slurm job
scancel <job_id>
- When you submit a job using
sbatch
it will output the job id - Alternatively you can find the job id using one of the
squeue
commands above