most citedAccelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

32 citations · 32 across the 1 of their papers we have counts for

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1 paper

physics.ins-det2020★ 32 cited

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Aneesh Heintz, Vesal Razavimaleki, Javier Duarte +18

We develop and study FPGA implementations of algorithms for charged particle tracking based on graph neural networks. The two complementary FPGA designs are based on OpenCL, a fram…