Abstract
A high-performance “pattern matching” implementation based on the Associative Memory (AM) system is presented. It is designed to solve the real-time hit-to-track association problem for particles produced in high-energy physics experiments at hadron colliders. The processing time of pattern recognition in CPU-based algorithms increases rapidly with the detector occupancy due to the limited computing power and input-output capacity of hardware available on the market. The AM system presented here solves the problem by being able to process even the most complex hadron collider events produced at a rate of 100 kHz with an average latency smaller than $10 \mu \hbox{s}$ . The board built for this goal is able to execute ${\sim}{12}$ petabyte comparisons per second, with peak power consumption below 250 W, uniformly distributed on the large area of the board.
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