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ORCIDDavid S. Kung 0001
Person information
- affiliation: IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (PhD): Stanford University, Department of Physics, CA, USA
Other persons with the same name
- David S. Kung — disambiguation page
- David S. Kung 0002 — California State University, Los Angeles, USA
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Journal Articles
- 2021
[j9]Xiaodong Cui
, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung:
Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3565-3576 (2021)- 2020
- [j8]Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung:
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. IEEE Signal Process. Mag. 37(3): 39-49 (2020) - 2019
- [j7]Minsik Cho, Ulrich Finkler, Mauricio J. Serrano, David S. Kung, Hillery C. Hunter:
BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy. IBM J. Res. Dev. 63(6): 1:1-1:11 (2019) - 2009
- [j6]David S. Kung, Yuan Xie:
Guest Editors' Introduction: Opportunities and Challenges of 3D Integration. IEEE Des. Test Comput. 26(5): 4-5 (2009) - [j5]David S. Kung:
The fate of stacking. IEEE Des. Test Comput. 26(5): 112 (2009) - 2005
- [j4]Haoxing Ren, David Zhigang Pan, David S. Kung:
Sensitivity guided net weighting for placement-driven synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24(5): 711-721 (2005) - 2004
- [j3]Louise Trevillyan, David S. Kung, Ruchir Puri, Lakshmi N. Reddy, Michael A. Kazda:
An Integrated Environment for Technology Closure of Deep-Submicron IC Designs. IEEE Des. Test Comput. 21(1): 14-22 (2004) - 2000
- [j2]Frederik Beeftink, Prabhakar Kudva, David S. Kung, Ruchir Puri, Leon Stok:
Combinatorial cell design for CMOS libraries. Integr. 29(1): 67-93 (2000) - 1996
- [j1]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:
BooleDozer: Logic synthesis for ASICs. IBM J. Res. Dev. 40(4): 407-430 (1996)
Conference and Workshop Papers
- 2021
- [c21]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:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 2021: 9294-9302 - [c20]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:
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. NeurIPS Datasets and Benchmarks 2021 - 2020
- [c19]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:
Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP 2020: 3022-3026 - [c18]Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu:
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. KDD 2020: 2514-2522 - 2019
- [c17]Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP 2019: 5706-5710 - [c16]Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH 2019: 2628-2632 - [c15]Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter:
BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. SysML 2019 - 2017
- [c14]Ulrich Finkler, Hubertus Franke, David S. Kung:
DYCE: A Resilient Shared Memory Paradigm for Heterogenous Distributed Systems without Memory Coherence. Conf. Computing Frontiers 2017: 17-26 - 2010
- [c13]Ruchir Puri, David S. Kung:
The Dawn of 22nm Era: Design and CAD Challenges. VLSI Design 2010: 429-433 - 2009
- [c12]David S. Kung, Ruchir Puri:
CAD challenges for 3D ICs. ASP-DAC 2009: 421-422 - 2005
- [c11]Ruchir Puri, David S. Kung, Leon Stok:
Minimizing power with flexible voltage islands. ISCAS (1) 2005: 21-24 - [c10]Renato Fernandes Hentschke, Jagannathan Narasimhan, David S. Kung:
Improving run times by pruned application of synthesis transforms. SBCCI 2005: 38-43 - 2004
- [c9]David S. Kung:
Timing closure for low-FO4 microprocessor design. DAC 2004: 265-266 - [c8]Haoxing Ren, David Zhigang Pan, David S. Kung:
Sensitivity guided net weighting for placement driven synthesis. ISPD 2004: 10-17 - 2003
- [c7]Ruchir Puri, Leon Stok, John M. Cohn, David S. Kung, David Z. Pan, Dennis Sylvester, Ashish Srivastava, Sarvesh H. Kulkarni:
Pushing ASIC performance in a power envelope. DAC 2003: 788-793 - 2002
- [c6]Ruchir Puri, David S. Kung, Anthony D. Drumm:
Fast and accurate wire delay estimation for physical synthesis of large ASICs. ACM Great Lakes Symposium on VLSI 2002: 30-36 - 1999
- [c5]David S. Kung, Ruchir Puri:
Optimal P/N width ratio selection for standard cell libraries. ICCAD 1999: 178-184 - 1998
- [c4]David S. Kung:
A Fast Fanout Optimization Algorithm for Near-Continuous Buffer Libraries. DAC 1998: 352-355 - [c3]Frederik Beeftink, Prabhakar Kudva, David S. Kung, Leon Stok:
Gate-size selection for standard cell libraries. ICCAD 1998: 545-550 - 1992
- [c2]David S. Kung, Robert F. Damiano, Theresa A. Nix, David J. Geiger:
BDDMAP: A Technology Mapper Based on a New Covering Algorithm. DAC 1992: 484-487 - [c1]David S. Kung:
Hazard-non-increasing gate-level optimization algorithms. ICCAD 1992: 631-634
Informal and Other Publications
- 2021
- [i10]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:
Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. CoRR abs/2105.12655 (2021) - [i9]Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung:
Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR abs/2110.11199 (2021) - 2020
- [i8]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:
Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR abs/2002.01119 (2020) - [i7]Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung:
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. CoRR abs/2002.10502 (2020) - [i6]Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu:
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. CoRR abs/2005.10053 (2020) - [i5]Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR abs/2006.13314 (2020) - [i4]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:
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR abs/2011.10608 (2020) - 2019
- [i3]Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR abs/1904.04956 (2019) - [i2]Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR abs/1907.05701 (2019) - 2017
- [i1]Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar:
PowerAI DDL. CoRR abs/1708.02188 (2017)
Coauthor Index
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