Reproducibility report for the paper: "Spatial/temporal locality-based load-sharing in speculative discrete event simulation on multi-core machines"

• Main Author: Tan, Wen Jun
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2025
• Subjects: Computer and Information Science; Replication of computational results; TOMACS 2024
• Online Access: https://hdl.handle.net/10356/182388
• Institution: Nanyang Technological University

All Badges available in this process are awarded to the paper "Spatial/Temporal Locality-based Load-sharing in Speculative Discrete Event Simulation on Multi-core Machines". The authors have uploaded their artifacts to Zenodo, which ensures a long-term retention of the artifact. This paper can thus receive the Artifacts Available badge. The artifact allows for easy re-running of experiments for 14 Figures and 4 tables. All of the dependencies are documented. The software in the artifact runs correctly with minimal intervention, and is relevant to the paper, earning the Artifacts Evaluated-Functional badge. The experimental results are reproduced in 9 experiments, which gains the Results Reproduced badge. Furthermore, since the artifact is also available on GitHub, the paper is assigned the Artifacts Evaluated-Reusable badge.