Speaker
Diego Tonelli
(CERN)
Description
We present the results of an R&D study for a specialized processor capable of precisely reconstructing events with hundreds of charged-particle tracks in pixel detectors
at 40 MHz, thus suitable for processing LHC events at the full crossing frequency. We design a massively parallel pattern-recognition algorithm, inspired by studies of the processing of visual images by the brain as it happens in nature, and propose an efficient hardware implementation in modern, high-speed, high-bandwidth FPGA devices.
Author
Diego Tonelli
(CERN)
