InterGrad: Energy-Efficient Training of Convolutional Neural Networks via Interleaved Gradient Scheduling
出版年份 2023 全文链接
标题
InterGrad: Energy-Efficient Training of Convolutional Neural Networks via Interleaved Gradient Scheduling
作者
关键词
-
出版物
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Volume 70, Issue 5, Pages 1949-1962
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2023-02-23
DOI
10.1109/tcsi.2023.3246468
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now