Shijun Gong

According to our database1, Shijun Gong authored at least 10 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications.
ACM J. Emerg. Technol. Comput. Syst., 2021

2020
BZIP: A compact data memory system for UTXO-based blockchains.
J. Syst. Archit., 2020

2019
SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks.
ACM Trans. Design Autom. Electr. Syst., 2019

Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks.
IEEE Trans. Computers, 2019

SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules.
IEEE Trans. Computers, 2019

ShuntFlow: An Efficient and Scalable Dataflow Accelerator Architecture for Streaming Applications.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

TNPU: an efficient accelerator architecture for training convolutional neural networks.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018
SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

CCR: A concise convolution rule for sparse neural network accelerators.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
FlexFlow: A Flexible Dataflow Accelerator Architecture for Convolutional Neural Networks.
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017


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