2022 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)

The AE Appendix is optional but authors are strongly encouraged to provide AE resources and workflows that reviewers can easily evaluate for availability, functionality, and their support for claimed key results. Even though the AD/AE review process strongly encourages publicly available artifacts, it is open to artifacts that are not.

Role of AD/AE Appendix during review: Submissions to SC are double-blind reviewed. SC Papers Committee (PC) reviewers will have only the information in the AD/AE form available to them that does not compromise the double-blind protection.