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Challenges and Opportunities for Systems Using CXL Memory

Published:27 April 2024Publication History

ABSTRACT

We are at the start of the technology cycle for compute express link (CXL) memory, which is a significant opportunity and challenge for architecture, operating systems, and programming languages. The 3.0 CXL specification allows multiple, physically attached hosts to dynamically share memory. We call such a configuration a CXL pod. Pods provide an intermediate hardware configuration between a network of machines, each with their private memory, and a shared memory multiprocessor with a unified memory, accessible to all machines.

This talk will discuss system support for single-node applications to attain scalable performance and high availability across a CXL pod as well as pointing out likely technical challenges for future systems. Along with the technical content, the talk categorizes computer systems research using the model of storytelling with a beginning, a middle and an end. We also examine the fascination popular culture has with personal aha moments and weigh their importance for a group working on an impending submission deadline.

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  • Published in

    cover image ACM Conferences
    ASPLOS '24: Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
    April 2024
    1106 pages
    ISBN:9798400703867
    DOI:10.1145/3620666

    Copyright © 2024 Copyright held by the owner/author(s)

    Permission to make digital or hard copies of all or part 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(s).

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 27 April 2024

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    Overall Acceptance Rate535of2,713submissions,20%
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