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ACAT / Real-time cluster finding for LHCb silicon pixel VELO detector using FPGA

The hardware trigger L0 will be removed in LHCb upgrade I, and the software High Level Trigger have to process event at full LHC collision rate (30 MHz). This is a huge task, and delegating some low-level time-consuming tasks to FPGA accelerators can be very helpful in saving computing time that can be more usefully devoted to higher level tasks. In particular, the 2-D pixel geometry of the new LHCb VELO detector makes the cluster-finding process a particularly CPU-time demanding task. We present here the first results achieved with a highly parallel clustering algorithm implemented in dedicated FPGA cards, developed in an R&D programme in the context of the LHCb Upgrade I, in view of potential future applications.

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