1. Efficient high performance computing with the ALICE event processing nodes GPU-based farm
- Author
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Federico Ronchetti, Valentina Akishina, Edvard Andreassen, Nora Bluhme, Gautam Dange, Jan de Cuveland, Giada Erba, Hari Gaur, Dirk Hutter, Grigory Kozlov, Luboš Krčál, Sarah La Pointe, Johannes Lehrbach, Volker Lindenstruth, Gvozden Nešković, Andreas Redelbach, David Rohr, Felix Weiglhofer, and Alexander Wilhelmi
- Subjects
scientific computing ,sustainable computing ,HTC ,HPC ,gpu ,online data reconstruction and calibration ,Physics ,QC1-999 - 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 O2 data processing within a single software framework. The ALICE O2 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 Pb–Pb collision data at a 50 kHz hadronic interaction rate. Also, the O2 EPN farm infrastructure features an energy efficient, environmentally friendly, adiabatic cooling system which allows for operational and capital cost savings.
- Published
- 2025
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