DeepBurning-SEG: Generating DNN Accelerators of Segment-Grained Pipeline Architecture
Author:
Affiliation:
1. Institute of Computing Technology,SKLP,CAS,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9923754/9923780/09923884.pdf?arnumber=9923884
Cited by 7 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. DNNMapper: An Elastic Framework for Mapping DNNs to Multi-die FPGAs;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19
2. PipeFuser: Building Flexible Pipeline Architecture for DNN Accelerators via Layer Fusion;2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC);2024-01-22
3. Accelerating event-based deep neural networks via flexible data encoding;IEICE Electronics Express;2023-11-10
4. Monad: Towards Cost-Effective Specialization for Chiplet-Based Spatial Accelerators;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
5. Accelerating Event-based Deep Neural Networks via Flexible Data Encoding;IEICE ELECTRON EXPR;2023
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