InterGrad: Energy-Efficient Training of Convolutional Neural Networks via Interleaved Gradient Scheduling

TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning

(2022) Sangyeob Kim et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

A High-Level Modeling Framework for Estimating Hardware Metrics of CNN Accelerators

(2021) Leonardo Rezende Juracy et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment

(2021) Haozhao Wang et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training

(2021) Shixiong Zhao et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

ComPreEND: Computation Pruning through Predictive Early Negative Detection for ReLU in a Deep Neural Network Accelerator

(2021) Namhyung Kim et al.   IEEE TRANSACTIONS ON COMPUTERS

A Survey of Accelerator Architectures for Deep Neural Networks

(2020) Yiran Chen et al.   Engineering

A Precision-Scalable Energy-Efficient Convolutional Neural Network Accelerator

(2020) Wenjian Liu et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Weight-Oriented Approximation for Energy-Efficient Neural Network Inference Accelerators

(2020) Zois-Gerasimos Tasoulas et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

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

VWA: Hardware Efficient Vectorwise Accelerator for Convolutional Neural Network

(2019) Kuo-Wei Chang et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Convolutional Networks with Dense Connectivity

(2019) Gao Huang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Energy-Efficient Convolution Architecture Based on Rescheduled Dataflow

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

Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures

(2018) Hai Jin et al.   ACM Transactions on Architecture and Code Optimization

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

(2017) Vivienne Sze et al.   PROCEEDINGS OF THE IEEE

Hierarchical Folding and Synthesis of Iterative Data Flow Graphs

(2013) Keshab K. Parhi   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS