Toward a CXL Memory Lake Architecture for Level-1 Data Scouting at CMS

Level-1 Data Scouting (L1DS) is a novel data acquisition subsystem at the Compact Muon Solenoid (CMS) Level-1 Trigger (L1T) that exposes the L1T event selection data primitives for online processing at the 40 MHz bunchcrossing rate of the Large Hadron Collider (LHC), enabling unbiased and unconventional analyses. An L1DS demonstrator has been operating since Run 3, relying on a ramdisk for ephemeral storage of incoming and intermediate data, accessible by the system’s units through a Network File System (NFS). With the High-Luminosity LHC (HL-LHC) and the CMS Phase 2 upgrade projected to enhance trigger resolutions, a high-performance shared memory system is key to retain real-time processing capabilities in Run 4. For this, we leverage the emerging Compute Express Link (CXL) open standard, which provides uniform and cache-coherent memory access from heterogeneous processing units, targeting a streamlined pipeline with minimized data movement over a memory lake shared among CPUs and GPUs. In this contribution, we present the integration of CXL-compliant shared memory into the L1DS demonstrator at CMS, including an overview of our approach’s design, benefits, and limitations. Furthermore, we evaluate CXL-based L1DS performance through analyses in heterogeneous contexts, supporting a discussion of the memory lake model and its use cases for the CMS community.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-07
DOI
https://doi.org/10.1051/epjconf/202533701308/pdf
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
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article

Toward a CXL Memory Lake Architecture for Level-1 Data Scouting at CMS

Christian Deldicque, Thomas Owen James, Davide Cristoforetti, Petr Zejdl et al.
Springer Link (Chiba Institute of Technology)
Particle Detector Development and Performance
article

Toward a CXL Memory Lake Architecture for Level-1 Data Scouting at CMS

Christian Deldicque, Thomas Owen James, Davide Cristoforetti, Petr Zejdl, Rocco Ardino, Attila Racz, Matteo Migliorini, Hannes Sakulin, Emilio Meschi, Giovanna Lazzari Miotto, Marc Dobson, Dinyar Rabady, Guilherme Paulino, Dominique Gigi, Giovanni Petrucciani
article en

Abstract

Level-1 Data Scouting (L1DS) is a novel data acquisition subsystem at the Compact Muon Solenoid (CMS) Level-1 Trigger (L1T) that exposes the L1T event selection data primitives for online processing at the 40 MHz bunchcrossing rate of the Large Hadron Collider (LHC), enabling unbiased and unconventional analyses. An L1DS demonstrator has been operating since Run 3, relying on a ramdisk for ephemeral storage of incoming and intermediate data, accessible by the system’s units through a Network File System (NFS). With the High-Luminosity LHC (HL-LHC) and the CMS Phase 2 upgrade projected to enhance trigger resolutions, a high-performance shared memory system is key to retain real-time processing capabilities in Run 4. For this, we leverage the emerging Compute Express Link (CXL) open standard, which provides uniform and cache-coherent memory access from heterogeneous processing units, targeting a streamlined pipeline with minimized data movement over a memory lake shared among CPUs and GPUs. In this contribution, we present the integration of CXL-compliant shared memory into the L1DS demonstrator at CMS, including an overview of our approach’s design, benefits, and limitations. Furthermore, we evaluate CXL-based L1DS performance through analyses in heterogeneous contexts, supporting a discussion of the memory lake model and its use cases for the CMS community.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 19%
Particle Detector Development and Performance
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