Experimental artefact (COLA'22)

This repository contains the experimental artefact used in the paper "Program Representations for Predictive Compilation: State of Affairs in the Early 20’s"

Contents

The repository is organized hierarchically. The directories are:

• Directory datasets contains all datasets used in the experiments;
• Directory scripts contains scripts for executing the experiments (extracting features, executing models, plot charts, etc.);
• Directory reproduce-experiments contains scripts for running the experiments with the pre-defined arguments
• Directory results contains the experimental results;
• Directory tools contains the support tools, including the YaCos framework;
• Directory docker contains the scripts to build and execute a Docker container environment.

Installation instructions

A docker environment is given in order to reproduce the experiments. In order to create the environment, you must:

1. Enter in docker directory.
2. Run 1.build_docker_image.sh script which will create the cola-2022 docker image based on the Dockerfile.
3. Run 2.extract_yacos_data.sh script which will extract YaCoS related data.

Running run_docker_command.sh script will start a shell inside artifact's environment.

Reproducing experiments

The directory reproduce-experiments can be used in order to: generate the LLVM IR files, generate the embeddings and run the experiments. Each script starts with a number and must run from minor to major, in order to have an end-to-end pipeline. Some notes:

• 0.create-ir.sh will generate LLVM IR files from source files which is located at datasets/src/.
• The scripts starting with prefix 1.*.sh generates different embeddings based on LLVM IR files. It can be run it order or not.