Podrobná bibliografie
| Název: |
Efficient high performance computing with the ALICE event processing nodes GPU-based farm. |
| Autoři: |
Ronchetti, Federico, Akishina, Valentina, Andreassen, Edvard, Bluhme, Nora, Dange, Gautam, de Cuveland, Jan, Erba, Giada, Gaur, Hari, Hutter, Dirk, Kozlov, Grigory, Krčál, Luboš, La Pointe, Sarah, Lehrbach, Johannes, Lindenstruth, Volker, Nešković, Gvozden, Redelbach, Andreas, Rohr, David, Weiglhofer, Felix, Wilhelmi, Alexander |
| Zdroj: |
Frontiers in Physics; 2025, p1-10, 10p |
| Témata: |
HIGH performance computing, DATA compression, SCIENTIFIC computing, SOFTWARE frameworks, ELECTRONIC data processing |
| Abstrakt: |
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 2 data processing within a single software framework. The ALICE O 2 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 O 2 EPN farm infrastructure features an energy efficient, environmentally friendly, adiabatic cooling system which allows for operational and capital cost savings. [ABSTRACT FROM AUTHOR] |
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| Databáze: |
Complementary Index |