SUPR
Reproducibility Study SIGMOD
Dnr:

NAISS 2023/22-1198

Type:

NAISS Small Compute

Principal Investigator:

Jonas Spenger

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2023-11-08

End Date:

2024-06-01

Primary Classification:

10201: Computer Sciences

Allocation

Abstract

The project is to run a reproducibility study of an academic paper for the SIGMOD (ACM Special Interest Group on Management of Data) Availability and Reproducibility reviews. We need the computational resources to reproduce the experiments that run for about 72 hours on a 64 core machine. Due to some unreliability (from the original authors) we require additional computational time to re-run failed experiments; in total we will need about 2 weeks, after which the paper will not be considered reproducible.