Efficient high performance computing with the ALICE Event Processing Nodes GPU-based farm
High Energy Physics - Experiment
2024-12-19 v1
Abstract
Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and Offline O data processing within a single software framework. The ALICE O Event Processing Nodes (EPN) project performs online data reconstruction using GPUs (Graphic Processing Units) instead of CPUs and applies an efficient, entropy-based, online data compression to cope with PbPb collision data at a 50 kHz hadronic interaction rate. Also, the O EPN farm infrastructure features an energy efficient, environmentally friendly, adiabatic cooling system which allows for operational and capital cost savings.
Keywords
Cite
@article{arxiv.2412.13755,
title = {Efficient high performance computing with the ALICE Event Processing Nodes GPU-based farm},
author = {Federico Ronchetti and Valentina Akishina and Edvard Andreassen and Nora Bluhme and Gautam Dange and Jan de Cuveland and Giada Erba and Hari Gaur and Dirk Hutter and Grigory Kozlov and Luboš Krčál and Sarah La Pointe and Johannes Lehrbach and Volker Lindenstruth and Gvozden Neskovic and Andreas Redelbach and David Rohr and Felix Weiglhofer and Alexander Wilhelmi},
journal= {arXiv preprint arXiv:2412.13755},
year = {2024}
}