Asynchronous Decentralized Distributed Training of Acoustic Models
- Xiaodong Cui
- Wei Zhang
- et al.
- 2021
- IEEE/ACM TASLP
Paper
Publications
25 results for David Kung
Map Generation from Large Scale Incomplete and Inaccurate Data Labels
- Rui Zhang
- Conrad Albrecht
- et al.
- 2020
- KDD 2020
Conference paperDistributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies
- Xiaodong Cui
- Wei Zhang
- et al.
- 2020
- IEEE SPM
PaperImproving Efficiency in Large-Scale Decentralized Distributed Training
- Wei Zhang
- Xiaodong Cui
- et al.
- 2020
- ICASSP 2020
Conference paperBlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy
- M. Cho
- Ulrich Finkler
- et al.
- 2019
- IBM J. Res. Dev
PaperA highly efficient distributed deep learning system for automatic speech recognition
- Wei Zhang
- Xiaodong Cui
- et al.
- 2019
- INTERSPEECH 2019
Conference paperDistributed Deep Learning Strategies for Automatic Speech Recognition
- Wei Zhang
- Xiaodong Cui
- et al.
- 2019
- ICASSP 2019
Conference paperDYCE - A resilient shared memory paradigm for heterogenous distributed systems without memory coherence
- Ulrich Finkler
- Hubertus Franke
- et al.
- 2017
- CF 2017
Conference paperA resource supply-demand based approach for automatic MapReduce job optimization
- Jinjun Xiong
- Dzung T. Phan
- et al.
- 2015
- HPCC-ICESS-CSS 2015
Conference paperThe dawn of 22nm era: Design and CAD challenges
- Ruchir Puri
- David S. Kung
- 2010
- VLSID/Embedded 2010
Conference paper