README.md

To generate the paper's results, run:

./run.sh setup_all
./run.sh run_all

The setup_all process takes around 40 mins and run_all takes around 30 mins depending on your machine. 30GB of free disk space is expected.

All results will be generated in the results/ directory. All compilation time results are in CSV files that start with compilation. There is a separate CSV file per mode, i.e. normal, PCH, and Yalla, and there are two sets of files, one for the PyKokkos subjects (compilation\_kokkos) and one for the benchmarks (compilation\_other). The running times for the PyKokkos subjects can be found in kernels CSV files for individual kernels and total CSV files for the total Python application running time. The running times for the other subjects are in the compilation CSV files. The stats CSV files shows LOC and header file statistics.

The trace of compilation (corresponding to Fig 7 in the paper) is under results/trace/. You can use Chrome to view the trace file by opening chrome://tracing and loading the trace file.

Docker

To run it in a docker container, you can use the following commands:

docker build -t yalla-cgo-ae .

# For interactive mode
docker run -it yalla-cgo-ae:latest /bin/bash
./run.sh setup_all
./run.sh run_all

# For detached mode
docker run -d yalla-cgo-ae:latest ./run.sh setup_all
docker run -d yalla-cgo-ae:latest ./run.sh run_all

You can copy the results to your host and view them in your favorite editor with:

docker cp <containerId>:/file/path/within/container /host/path/target

Remove the image and container when you are done:

# You can run `docker rmi` or `docker ps -a` first to get the container_id
docker rm <containerId>
docker rmi yalla-cgo-ae:latest