| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01220 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701220 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701220
A high-throughput input interface for the CBM FLES
1 Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt am Main, Germany
2 Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany
3 GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt, Germany
* e-mail: hutter@compeng.uni-frankfurt.de
Published online: 7 October 2025
The CBM First-level Event Selector (FLES) serves as the central data processing and event selection system for the upcoming CBM experiment at FAIR. Designed as a scalable high-performance computing cluster, it facilitates online analysis of unfiltered physics data at rates surpassing 1 TB/s.
As the input to the FLES, the CBM detector subsystems deliver free-streaming, self-triggered data to the common readout interface (CRI), which is a custom FPGA PCIe board installed in the FLES entry nodes. A subsystem-specific part of the FPGA design time-partitions the input streams into context-free packages. The FLES interface module (FLIM), a component of the FPGA design, acts as the interface between the subsystem-specific readout logic and the generic FLES data distribution. It transfers the packed detector data to the host’s memory using a low-latency, high-throughput PCIe DMA engine. This custom design enables a shared-memory-based, true zero-copy data flow.
A fully implemented FLIM for the CRI board is currently in use within CBM test setups and the FAIR Phase-0 experiment mCBM. We present an overview of the FLES input interface architecture and provide performance evaluations under synthetic as well as real-world conditions.
© The Authors, published by EDP Sciences, 2025
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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