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: CoRR (2020)
Keyphrases
- weighted graph
- high energy physics
- real time
- neural network
- edge weights
- shortest path
- graph partitioning
- minimum weight
- smart camera
- distance measure
- adjacency matrix
- graph model
- scientific data
- database
- distance function
- multiscale
- spanning tree
- hardware implementation
- data objects
- minimum spanning tree
- pairwise similarities
- wireless sensor networks
- data structure
- maximum weight
- vertex set
- bitmap indices