Publications

25 results for David Kung

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