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Author  |
Punzi, G.; Baldini, W.; Bassi, G.; Contu, A.; Fantechi, R.; He, J.B.; Jashal, B.K.; Kotriakhova, S.; Lazzari, F.; Martinelli, M.; Mendoza, D.; Morello, M.J.; Oyanguren, A.; Pica, L.; Shi, Q.; Terzuoli, F.; Tuci, G.; Xu, A.; Zhuo, J.H. |
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Title |
Detector-embedded reconstruction of complex primitives using FPGAs |
Type |
Journal Article |
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Year |
2024 |
Publication |
Nuclear Instruments & Methods in Physics Research A |
Abbreviated Journal |
Nucl. Instrum. Methods Phys. Res. A |
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Volume |
1069 |
Issue |
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Pages |
169782 - 4pp |
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Keywords |
DAQ; FPGA; Trigger; LHCb |
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Abstract |
The slowdown of Moore's law and the growing requirements of future HEP experiments with ever-increasing data rates pose important computational challenges for data reconstruction and trigger systems, encouraging the exploration of new computing methodologies. In this work we discuss a FPGA-based tracking system, relying on a massively parallel pattern recognition approach, inspired by the processing of visual images by the natural brain (“retina architecture”). This method allows a large efficiency of utilisation of the hardware, low power consumption and very low latencies. Based on this approach, a device has been designed within the LHCb Upgrade-II project, with the goal of performing track reconstruction in the forward acceptance region in real-time during the upcoming Run 4 of the LHC. This innovative device will perform track reconstruction before the event-building, in a short enough time to provide pre-reconstructed tracks (“primitives”) transparently to the processor farm, as if they had been generated directly by the detector. This allows significant savings in higher-level computing resources, enabling handling higher luminosities than otherwise possible. The feasibility of the project is backed up by the results of tests performed on a realistic hardware prototype, that has been opportunistically processing actual LHCb data in parallel with the regular DAQ in the LHC Run 3. |
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Address |
[Baldini, Wander; Kotriakhova, Sofia] INFN, Sez Ferrara, Ferrara, Italy, Email: giovanni.punzi@cern.ch |
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Publisher |
Elsevier |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0168-9002 |
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Notes |
WOS:001309343100001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
6253 |
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