Accelerating Neural Network Inference on FPGA-Based Platforms—A Survey

Sparse low rank factorization for deep neural network compression

(2020) Sridhar Swaminathan et al.   NEUROCOMPUTING

Binary neural networks: A survey

(2020) Haotong Qin et al.   PATTERN RECOGNITION

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

(2019) Yu-Hsin Chen et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays

(2019) Amogh Agrawal et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

(2019) Xiaoliang Dai et al.   IEEE TRANSACTIONS ON COMPUTERS

Research and Implementation of ε-SVR Training Method Based on FPGA

(2019) Ruidong Wu et al.   Electronics

A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets

(2018) Fabian Schuiki et al.   IEEE TRANSACTIONS ON COMPUTERS

A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application

(2018) Donghyeon Han et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

(2017) Yu-Hsin Chen et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Normalization and dropout for stochastic computing-based deep convolutional neural networks

(2017) Ji Li et al.   INTEGRATION-THE VLSI JOURNAL

A Survey of Techniques for Approximate Computing

(2016) Sparsh Mittal   ACM COMPUTING SURVEYS

Survey of Stochastic Computing

(2013) Armin Alaghi et al.   ACM Transactions on Embedded Computing Systems

Metal–Oxide RRAM

(2012) H.-S. Philip Wong et al.   PROCEEDINGS OF THE IEEE