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HK: Fachverband Physik der Hadronen und Kerne

HK 54: Computing II

HK 54.5: Vortrag

Mittwoch, 13. März 2024, 18:30–18:45, HBR 19: C 103

An online GPU hit finder for the STS detector in CBM — •Felix Weiglhofer for the CBM collaboration — Frankfurt Institute for Advanced Studies, Goethe University, Frankfurt, Germany

The CBM experiment is expected to run with a data rate exceeding 500 GB/s after averaging. At this rate storing raw detector data is not feasible and an efficient online reconstruction is required instead. GPUs have become essential for HPC workloads. Higher memory bandwidth and parallelism can provide significant speedups over traditional CPU applications. These properties also make them a promising target for the planned online processing in CBM.

We present an online hit finder for the STS detector capable of running on GPUs. The hit finder consists of four steps using STS Digis (timestamped detector messages) as input. Digis are sorted by sensor, within each sensor, they are sorted by channel and timestamp. Neighboring Digis are combined into clusters. Finally, after time sorting clusters on each sensor are combined into hits.

Each of those steps is trivially parallel across STS sensors or even sensor sides. To fully utilize GPU hardware, we modify the algorithms to be parallel on Digi or cluster level. This includes a custom implementation of parallel merge sort allowing full parallelism within GPU blocks.

Our implementation achieves speedup of 24 on mCBM data compared to the same code on a single CPU core. The exact achieved throughput will be shown during the presentation.

This work is supported by BMBF (05P21RFFC1).

Keywords: reconstruction; GPU; online