C ir CNN: accelerating and compressing deep neural networks using block-circulant weight matrices

Caiwen Ding
Caiwen Ding
Siyu Liao
Siyu Liao
Ning Liu
Ning Liu
Youwei Zhuo
Youwei Zhuo
Chao Wang
Chao Wang
Yu Bai
Yu Bai
Geng Yuan
Geng Yuan
Xiaolong Ma
Xiaolong Ma
Yipeng Zhang
Yipeng Zhang

MICRO-50: The 50th Annual IEEE/ACM International Symposium on Microarchitecture Cambridge ..., pp.395-408, (2017)

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Abstract:

Large-scale deep neural networks (DNNs) are both compute and memory intensive. As the size of DNNs continues to grow, it is critical to improve the energy efficiency and performance while maintaining accuracy. For DNNs, the model size is an important factor affecting performance, scalability and energy efficiency. Weight pruning achieves ...More

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