Optimizing OpenCL Kernels and Runtime for DNN Inference on FPGAs.
Seung-Hun ChungTarek S. AbdelrahmanPublished in: IPDPS Workshops (2020)
Keyphrases
- kernel function
- field programmable gate array
- support vector
- linear combination
- inference process
- hardware software
- probabilistic inference
- multiple kernel learning
- kernel methods
- parallel algorithm
- dynamic bayesian networks
- bayesian inference
- parallel architectures
- transactional memory
- hardware design
- gaussian processes
- positive definite
- reproducing kernel hilbert space
- inference engine
- neural network
- feature space
- bayesian networks
- image processing
- learning algorithm