David S. Kung

According to our database, David S. Kung authored at least 33 papers between 1992 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Asynchronous Decentralized Distributed Training of Acoustic Models.

Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler

CoRR, 2021

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks.

Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.

Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies.

Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung

IEEE Signal Process. Mag., 2020

Large Scale Neural Architecture Search with Polyharmonic Splines.

Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee

CoRR, 2020

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition.

Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung

CoRR, 2020

Map Generation from Large Scale Incomplete and Inaccurate Data Labels.

Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Improving Efficiency in Large-Scale Decentralized Distributed Training.

Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy.

Minsik Cho, Ulrich Finkler, Mauricio J. Serrano, David S. Kung, Hillery C. Hunter

IBM J. Res. Dev., 2019

BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy.

Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition.

Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Distributed Deep Learning Strategies for Automatic Speech Recognition.

Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

PowerAI DDL.

Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar

CoRR, 2017

DYCE: A Resilient Shared Memory Paradigm for Heterogenous Distributed Systems without Memory Coherence.

Ulrich Finkler, Hubertus Franke, David S. Kung

Proceedings of the Computing Frontiers Conference, 2017

2010

The Dawn of 22nm Era: Design and CAD Challenges.

Ruchir Puri, David S. Kung

Proceedings of the VLSI Design 2010: 23rd International Conference on VLSI Design, 2010

2009

Guest Editors' Introduction: Opportunities and Challenges of 3D Integration.

David S. Kung, Yuan Xie

IEEE Des. Test Comput., 2009

The fate of stacking.

David S. Kung

IEEE Des. Test Comput., 2009

CAD challenges for 3D ICs.

David S. Kung, Ruchir Puri

Proceedings of the 14th Asia South Pacific Design Automation Conference, 2009

2005

Sensitivity guided net weighting for placement-driven synthesis.

Haoxing Ren, David Zhigang Pan, David S. Kung

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2005

Improving run times by pruned application of synthesis transforms.

Renato Fernandes Hentschke, Jagannathan Narasimhan, David S. Kung

Proceedings of the 18th Annual Symposium on Integrated Circuits and Systems Design, 2005

Minimizing power with flexible voltage islands.

Ruchir Puri, David S. Kung, Leon Stok

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004

An Integrated Environment for Technology Closure of Deep-Submicron IC Designs.

Louise Trevillyan, David S. Kung, Ruchir Puri, Lakshmi N. Reddy, Michael A. Kazda

IEEE Des. Test Comput., 2004

Timing closure for low-FO4 microprocessor design.

David S. Kung

Proceedings of the 41th Design Automation Conference, 2004

2003

Pushing ASIC performance in a power envelope.

Ruchir Puri, Leon Stok, John M. Cohn, David S. Kung, David Z. Pan, Dennis Sylvester, Ashish Srivastava, Sarvesh H. Kulkarni

Proceedings of the 40th Design Automation Conference, 2003

2002

Fast and accurate wire delay estimation for physical synthesis of large ASICs.

Ruchir Puri, David S. Kung, Anthony D. Drumm

Proceedings of the 12th ACM Great Lakes Symposium on VLSI 2002, 2002

2000

Combinatorial cell design for CMOS libraries.

Frederik Beeftink, Prabhakar Kudva, David S. Kung, Ruchir Puri, Leon Stok

Integr., 2000

1999

Optimal P/N width ratio selection for standard cell libraries.

David S. Kung, Ruchir Puri

Proceedings of the 1999 IEEE/ACM International Conference on Computer-Aided Design, 1999

1998

Gate-size selection for standard cell libraries.

Frederik Beeftink, Prabhakar Kudva, David S. Kung, Leon Stok

Proceedings of the 1998 IEEE/ACM International Conference on Computer-Aided Design, 1998

A Fast Fanout Optimization Algorithm for Near-Continuous Buffer Libraries.

David S. Kung

Proceedings of the 35th Conference on Design Automation, 1998

1996

BooleDozer: Logic synthesis for ASICs.

Leon Stok, David S. Kung, Daniel Brand, Anthony D. Drumm, Andrew J. Sullivan, Lakshmi N. Reddy, Nathaniel Hieter, David J. Geiger, Han Hsun Chao, Peter J. Osler

IBM J. Res. Dev., 1996

1992

Hazard-non-increasing gate-level optimization algorithms.

David S. Kung

Proceedings of the 1992 IEEE/ACM International Conference on Computer-Aided Design, 1992

BDDMAP: A Technology Mapper Based on a New Covering Algorithm.

David S. Kung, Robert F. Damiano, Theresa A. Nix, David J. Geiger

Proceedings of the 29th Design Automation Conference, 1992