Data and scripts for reproducing figures in paper:
N. Tan, B. Nicolae, J. Luettgau, J. Marquez, K. Teranishi, N. Morales, S. Bhowmick, M. Taufer, and F. Cappello. Scalable Checkpointing of Applications with Sparsely Updated Data. In Proceedings of the 52nd International Conference on Parallel Processing (ICPP), 2023.
This paper received three ACM badges: result replicated, artifact available, and artifact evaluated-functional.
This repository is used to collect measurement as well as scripting to explore and plot the results.
NOTE: The main branch is protected, store results to a seperate branch to avoid needing to download all the results for measurment campaigns on other systems.
# Clone and be prompted for new branch (e.g., per system or measurement campaign)
git clone git@github.com:TauferLab/Results_Deduplication_Module.git
cd Results_Deduplication_Module
./init.sh
In job scripts/post-processing scripts consider using:
# source to obtain RESULTS_PATH environment variable, extend PATH/LD_LIBRARY_PATH/...
source <path-to-repo>/activate