Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
Yutaro IiyamaGianluca CerminaraAbhijay GuptaJan KieselerVladimir LoncarMaurizio PieriniShah Rukh QasimMarcel RiegerSioni SummersGerrit Van OnsemKinga Anna WozniakJennifer NgadiubaGiuseppe Di GuglielmoJavier M. DuartePhilip C. HarrisDylan S. RankinSergo JindarianiMia LiuKevin PedroNhan TranEdward KreinarZhenbin WuPublished in: Frontiers Big Data (2020)
Keyphrases
- weighted graph
- high energy physics
- neural network
- real time
- edge weights
- shortest path
- graph partitioning
- graph model
- smart camera
- scientific data
- data objects
- minimum spanning tree
- graph structure
- distance measure
- adjacency matrix
- field programmable gate array
- bitmap indices
- maximum weight
- vertex set
- distance function
- normalized cut
- directed acyclic graph
- embedded systems
- minimum weight
- graphical models
- probabilistic model
- similarity measure
- databases