SPRING: A Sparsity-Aware Reduced-Precision Monolithic 3D CNN Accelerator Architecture for Training and Inference

Author:

Yu Ye,Jha Niraj K

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fault Diagnosis for Resistive Random Access Memory and Monolithic Inter-Tier Vias in Monolithic 3-D Integration;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-07

2. HARVEST: Towards Efficient Sparse DNN Accelerators using Programmable Thresholds;2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID);2024-01-06

3. TransCODE: Co-Design of Transformers and Accelerators for Efficient Training and Inference;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12

4. SCV-GNN: Sparse Compressed Vector-Based Graph Neural Network Aggregation;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12

5. TREAD-M3D: Temperature-Aware DNN Accelerators for Monolithic 3-D Mobile Systems;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023-12

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