2 papers
cs.LG2019
DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
Qing Yang, Jiachen Mao, Zuoguan Wang +1
To improve the execution speed and efficiency of neural networks in embedded systems, it is crucial to decrease the model size and computational complexity. In addition to conventi…
cs.DC2019
HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array
Linghao Song, Jiachen Mao, Youwei Zhuo +3
With the rise of artificial intelligence in recent years, Deep Neural Networks (DNNs) have been widely used in many domains. To achieve high performance and energy efficiency, hard…