Abstract

ALICE will significantly increase its Pb–Pb data taking rate from the 1 kHz of triggered readout in Run 2 to 50 kHz of continuous readout for LHC Run 3. Updated tracking detectors are installed for Run 3 and a new twophase computing strategy is employed. In the first synchronous phase during the data taking, the raw data is compressed for storage to an on-site disk buffer and the required data for the detector calibration is collected. In the second asynchronous phase the compressed raw data is reprocessed using the final calibration to produce the final reconstruction output. Traditional CPUs are unable to cope with the huge data rate and processing demands of the synchronous phase, therefore ALICE employs GPUs to speed up the processing. Since the online computing farm performs a part of the asynchronous processing when there is no beam in the LHC, ALICE plans to use the GPUs also for this second phase. This paper gives an overview of the GPU processing in the synchronous phase, the full system test to validate the reference GPU architecture, and the prospects for the GPU usage in the asynchronous phase.

Highlights

  • IntroductionALICE (A Large Heave Ion Collider Experiment [1]) is undergoing a major upgrade during the LHC long shutdown 2 in preparation for increasing its data taking rate during LHC Run 3 [2]

  • ALICE (A Large Heave Ion Collider Experiment [1]) is undergoing a major upgrade during the LHC long shutdown 2 in preparation for increasing its data taking rate during LHC Run 3 [2]. This includes updates to the major tracking detectors ITS (Inner Tracking System [3]) and TPC (Time Projection Chamber [4]) as well as an upgrade to the computing scheme within ALICE O2 (Online O✏ine [5]), comprising the three projects EPN (Event Processing Nodes), FLP (First Level Processors), and PDP (Physics and Data Processing)

  • The compression of the raw data to Compressed Time Frames (CTF), which are stored to the disk bu↵er

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Summary

Introduction

ALICE (A Large Heave Ion Collider Experiment [1]) is undergoing a major upgrade during the LHC long shutdown 2 in preparation for increasing its data taking rate during LHC Run 3 [2]. This includes updates to the major tracking detectors ITS (Inner Tracking System [3]) and TPC (Time Projection Chamber [4]) as well as an upgrade to the computing scheme within ALICE O2 (Online O✏ine [5]), comprising the three projects EPN (Event Processing Nodes), FLP (First Level Processors), and PDP (Physics and Data Processing). Running only the synchronous processing, the online computing farm would idle or operate at low load for most of the time

ALICE Data Processing in Run 3
Synchronous Processing
Asynchronous processing
Performance evaluation and testing
CPU cores
PCI Express Bandwidth
Memory size
Standalone benchmark
Full system test
Findings
Conclusions
Full Text
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