| Issue |
EPJ Web of Conferences
Volume 95, 2015
3rd International Conference on New Frontiers in Physics
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 16 | |
| Section | FAIR workshop | |
| DOI | https://doi.org/10.1051/epjconf/20159501007 | |
| Published online | 29 May 2015 | |
https://doi.org/10.1051/epjconf/20159501007
Scientific and high-performance computing at FAIR
1 Goethe University, Grueneburgplatz 1, 60323 Frankfurt am Main, Germany
2 FIAS Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, 60438 Frankfurt am Main, Germany
3 GSI Helmholtz Center for Heavy Ion Research, Planckstr. 1, 64291 Darmstadt, Germany
Published online: 29 May 2015
Future FAIR experiments have to deal with very high input rates, large track multiplicities, make full event reconstruction and selection on-line on a large dedicated computer farm equipped with heterogeneous many-core CPU/GPU compute nodes. To develop efficient and fast algorithms, which are optimized for parallel computations, is a challenge for the groups of experts dealing with the HPC computing. Here we present and discuss the status and perspectives of the data reconstruction and physics analysis software of one of the future FAIR experiments, namely, the CBM experiment.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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