The SC Best Reproducibility Advancement Award aims to recognize outstanding efforts in improving transparency and reproducibility of methods for high performance computing, storage, networking and analysis. This award will recognize the paper or a research object of a paper that most significantly advances the state of art in transparency and reproducibility.
In this context, a research object refers to a collection of computational artifacts that extend beyond the submitted paper, such as software, datasets, environment configuration, mechanized proofs, benchmarks, or test suites with scripts.
This award aims to encourage transparency and reproducibility and to reward outstanding efforts that broadly fall under the following scope:
The award will be given based on the advancements in transparency and reproducibility and/or extraordinary examples of reproducible research in a paper or research object. Typical examples include:
All accepted SC papers with AD/AE are eligible for this award and can be nominated by the SC Technical Paper Committee or SC Artifact Description/Evaluation Committee as part of the usual review process.
Each submission will be given the opportunity to highlight their advancement in transparency and reproducibility as part of their submission form. This information would then be considered during the selection process.