169 citations · 368 across the 10 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.AR2020★ 3 cited
SMART Paths for Latency Reduction in ReRAM Processing-In-Memory Architecture for CNN Inference
Sho Ko, Shimeng Yu
This research work proposes a design of an analog ReRAM-based PIM (processing-in-memory) architecture for fast and efficient CNN (convolutional neural network) inference. For the o…
eess.SP2020★ 8 cited
New Security Challenges on Machine Learning Inference Engine: Chip Cloning and Model Reverse Engineering
Shanshi Huang, Xiaochen Peng, Hongwu Jiang +2
Machine learning inference engine is of great interest to smart edge computing. Compute-in-memory (CIM) architecture has shown significant improvements in throughput and energy eff…
cs.ET2020★ 8 cited
DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training
Xiaochen Peng, Shanshi Huang, Hongwu Jiang +2
DNN+NeuroSim is an integrated framework to benchmark compute-in-memory (CIM) accelerators for deep neural networks, with hierarchical design options from device-level, to circuit-l…