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Reproducibility Report for the Paper: DRackSim: Simulating CXL-enabled Large-Scale Disaggregated Memory Systems

Published: 24 June 2024 Publication History
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  • Abstract

    The examined paper presents a simulation infrastructure for scalable disaggregated memory systems called DRackSim. The authors have uploaded their artefacts to Zenodo, which ensures long-term retention of the artefact. This paper can thus receive the Artifacts Available badge. The tool has been built successfully with some interaction with authors. The paper can earn the Artifacts Functional badge. Due to the lack of material regarding the data used, the experiments can not be replicated and the artefacts cannot obtain the Artifacts Reproduced – Evaluated badge. Furthermore, since the artefact is also available on GitHub, the paper is assigned the Artifacts Reusable badge.

    Reference

    [1]
    Amit Puri, and Kartheek Bellamkonda, and Kailash Narreddy, and John Jose, and Venkatesh Tamarapalli, and Vijaykrishnan Narayanan. 2024. DRackSim: Simulating CXL-enabled Large-Scale Disaggregated Memory Systems. In Proceedings of the 2024 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation(PADS). ACM Press.

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    1. Reproducibility Report for the Paper: DRackSim: Simulating CXL-enabled Large-Scale Disaggregated Memory Systems

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            cover image ACM Conferences
            SIGSIM-PADS '24: Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
            June 2024
            155 pages
            ISBN:9798400703638
            DOI:10.1145/3615979
            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            Publication History

            Published: 24 June 2024

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            Author Tags

            1. ACM SIGSIM PADS 2024
            2. Replication of Computational Results

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            • Extended-abstract
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            • Refereed limited

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            Overall Acceptance Rate 398 of 779 submissions, 51%

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