33 citations · 43 across the 5 of their papers we have counts for
5 papers
Performance Evaluation of Deep Learning Tools in Docker Containers
Pengfei Xu, Shaohuai Shi, Xiaowen Chu
With the success of deep learning techniques in a broad range of application domains, many deep learning software frameworks have been developed and are being updated frequently to…
Speeding up Convolutional Neural Networks By Exploiting the Sparsity of Rectifier Units
Shaohuai Shi, Xiaowen Chu
Rectifier neuron units (ReLUs) have been widely used in deep convolutional networks. An ReLU converts negative values to zeros, and does not change positive values, which leads to…
Supervised Learning Based Algorithm Selection for Deep Neural Networks
Shaohuai Shi, Pengfei Xu, Xiaowen Chu
Many recent deep learning platforms rely on third-party libraries (such as cuBLAS) to utilize the computing power of modern hardware accelerators (such as GPUs). However, we observ…
Efficient Channel-Hopping Rendezvous Algorithm Based on Available Channel Set
Lu Yu, Hai Liu, Yiu-Wing Leung +2
In cognitive radio networks, rendezvous is a fundamental operation by which two cognitive users establish a communication link on a commonly-available channel for communications. S…
ZOS: A Fast Rendezvous Algorithm Based on Set of Available Channels for Cognitive Radios
Zhiyong Lin, Hai Liu, Lu Yu +2
Most of existing rendezvous algorithms generate channel-hopping sequences based on the whole channel set. They are inefficient when the set of available channels is a small subset…