research
∙
09/26/2022
Optimizing DNN Compilation for Distributed Training with Joint OP and Tensor Fusion
This paper proposes DisCo, an automatic deep learning compilation module...
share
research
∙
04/22/2022
Efficient Pipeline Planning for Expedited Distributed DNN Training
To train modern large DNN models, pipeline parallelism has recently emer...
research
∙
03/03/2021
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
Low-quality face image restoration is a popular research direction in to...
research
∙
03/03/2021
An Alternative Practice of Tropical Convolution to Traditional Convolutional Neural Networks
Convolutional neural networks (CNNs) have been used in many machine lear...
research
∙
02/12/2021
Min-Max-Plus Neural Networks
We present a new model of neural networks called Min-Max-Plus Neural Net...
research
∙
07/08/2020
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
The last decade has witnessed growth in the computational requirements f...
research
∙
07/02/2020
