Cargando…
Usage of GPU for online data processing – the experience of ALICE and LHCb
<!--HTML--><p>In LHC Run 3, the ALICE and LHCb experiments will not rely on hardware triggers. The luminosity will be increased significantly, so that up to 40 Tbit/s will be processed in the online farm.</p> <p>LHCb runs a full-software trigger and ALICE performs calibratio...
Autores principales: | , |
---|---|
Lenguaje: | eng |
Publicado: |
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2704385 |
Sumario: | <!--HTML--><p>In LHC Run 3, the ALICE and LHCb experiments will not rely on hardware triggers. The luminosity will be increased significantly, so that up to 40 Tbit/s will be processed in the online farm.</p>
<p>LHCb runs a full-software trigger and ALICE performs calibration and data compression, for which the full software processing enables unprecedented flexibility and possibilities.<br />
Both experiments foresee a two-stage approach, processing the data during data taking for a first data reduction and storing it to an on-site disk-buffer for a second processing when there is no beam.</p>
<p>In order to cope with the higher data rates, both experiments are exploring alternative hardware technologies instead of traditional CPU compute farms.</p>
<p>We discuss the framework design, implementation details, performance, and results of LHCb's full-software trigger on GPUs "Allen" and of ALICE's online and offline data compression and reconstruction on GPUs.<br />
</p> |
---|