Extending ALICE’s GPU tracking capabilities: Towards a comprehensive accelerated barrel reconstruction

During Run 3, the ALICE experiment has enhanced its two-phase data processing and reconstruction chain by integrating GPUs, a leap forward in utilizing high-performance computing at the LHC. The initial ’synchronous’ phase engages GPUs to reconstruct and compress data from the TPC detector. Subsequently, the ’asynchronous’ phase partially frees GPU resources, allowing further offloading of additional reconstruction tasks to enhance the reconstruction efficiency. Notably, the Inner Tracking System (ITS) [5] tracking has been ported as an independent module for two major GPU platforms. This work will detail the integration of ITS GPU tracking within the existing framework, aiming to develop a unified GPU-based reconstruction pipeline that minimizes host-device memory transfer latency and coordinating various simultaneous processing stages. Performance metrics of the integrated system will be discussed, highlighting the technical strategies and outcomes of this implementation.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701019
Primary Topic
Particle Detector Development and Performance
Type
article
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article

Extending ALICE’s GPU tracking capabilities: Towards a comprehensive accelerated barrel reconstruction

D. Røhr, M. Concas
EPJ Web of Conferences
Particle Detector Development and Performance
article

Extending ALICE’s GPU tracking capabilities: Towards a comprehensive accelerated barrel reconstruction

D. Røhr, M. Concas
article en

Abstract

During Run 3, the ALICE experiment has enhanced its two-phase data processing and reconstruction chain by integrating GPUs, a leap forward in utilizing high-performance computing at the LHC. The initial ’synchronous’ phase engages GPUs to reconstruct and compress data from the TPC detector. Subsequently, the ’asynchronous’ phase partially frees GPU resources, allowing further offloading of additional reconstruction tasks to enhance the reconstruction efficiency. Notably, the Inner Tracking System (ITS) [5] tracking has been ported as an independent module for two major GPU platforms. This work will detail the integration of ITS GPU tracking within the existing framework, aiming to develop a unified GPU-based reconstruction pipeline that minimizes host-device memory transfer latency and coordinating various simultaneous processing stages. Performance metrics of the integrated system will be discussed, highlighting the technical strategies and outcomes of this implementation.

EPJ Web of ConferencesVol. 337
European Organization for Nuclear Research (CH)
Openalex Percentile: Top 88%
Particle Detector Development and Performance
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Extending ALICE’s GPU tracking capabilities: Towards a comprehensive accelerated barrel reconstruction — D. Røhr, M. Concas · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS