A static-placement, dynamic-issue framework for CGRA loop accelerator.

Zhongyuan Zhao Weiguang Sheng Weifeng He Zhigang Mao Zhaoshi Li

Published in: DATE (2017)

Keyphrases

main contribution
framework enables
real time
neural network
lightweight
theoretical framework
dynamic constraints
information retrieval
similarity measure
expert systems
probabilistic model
key features
bayesian framework
conceptual framework
computational framework