Volume 476 - 42nd International Conference on High Energy Physics (ICHEP2024) - Computing and Data Handling
Usage of GPUs for online and offline reconstruction in ALICE in Run 3
D. Rohr*  on behalf of the ALICE collaboration
*: corresponding author
Full text: pdf
Pre-published on: December 17, 2024
Published on: April 29, 2025
Abstract
In Run 3, ALICE records Pb-Pb collisions at an unprecedented rate of 50 kHz, storing all data in a continuous readout (triggerless) mode.
The main purpose of the ALICE online computing farm is the calibration of the detectors and the compression of the recorded data.
The detector with the largest data volume by far is the TPC, and the online farm is thus optimized for the fast and efficient processing of TPC data during data taking.
For this, ALICE leverages heavily the computing power of GPUs.
When there is no beam in the LHC, the GPU-equipped farm performs the offline reconstruction of the recorded data, in addition to the GRID.
Since the majority of the computing capacity of the farm is in the GPUs, and meanwhile also some GRID sites begin to offer GPU resources, ALICE has started to offload other parts of the offline reconstruction to GPUs as well.
The talk will present the experience and processing performance with GPUs in the Run 3 Pb-Pb and pp online and offline processing in ALICE.
DOI: https://doi.org/10.22323/1.476.1012
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