An Energy-Efficient Deep Belief Network Processor Based on Heterogeneous Multi-Core Architecture with Transposable Memory and On-Chip Learning
IEEE Journal on Emerging and Selected Topics in Circuits and Systems（2021）
Key words
Neurons,Energy efficiency,Computational modeling,Unsupervised learning,System-on-chip,Integrated circuit modeling,Computer architecture,Edge computing,Deep Belief Network (DBN),on-chip learning,algorithm-architecture-circuit co-design,data reuse,data sparsity,heterogeneous multi-core architecture,transposable memory
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined