TY  - JOUR
A1  - Kisel, Ivan
T1  - Scientific and high-performance computing at FAIR
T2  - EPJ Web of Conferences
N2  - 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.
Y1  - 2015
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/71452
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-714529
SN  - 2100-014X
VL  - 95
IS  - 01007
PB  - EDP Sciences
CY  - Les Ulis
ER  -