David S. Kung - RankMe

40 papers A* 6A 4Misc 3Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
2021	J	`jnl`	Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
2021	—	`conf`	CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. NeurIPS Datasets and Benchmarks 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
2021	A*	`conf`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI 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
2021	J	`jnl`	Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. CoRR 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
2020	J	`jnl`	Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. CoRR Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung
2020	J	`jnl`	Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. IEEE Signal Process. Mag. Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung
2020	Misc	`conf`	Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP 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
2020	J	`jnl`	Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR 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
2020	J	`jnl`	Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR 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
2020	A*	`conf`	Map Generation from Large Scale Incomplete and Inaccurate Data Labels. KDD Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
2020	J	`jnl`	Map Generation from Large Scale Incomplete and Inaccurate Data Labels. CoRR Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
2020	J	`jnl`	NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
2019	J	`jnl`	A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
2019	A	`conf`	A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
2019	—	`conf`	BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. SysML Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter
2019	J	`jnl`	BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy. IBM J. Res. Dev. Minsik Cho, Ulrich Finkler, Mauricio J. Serrano, David S. Kung, Hillery C. Hunter
2019	J	`jnl`	Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
2019	Misc	`conf`	Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
2017	—	`conf`	DYCE: A Resilient Shared Memory Paradigm for Heterogenous Distributed Systems without Memory Coherence. Conf. Computing Frontiers Ulrich Finkler, Hubertus Franke, David S. Kung
2017	J	`jnl`	PowerAI DDL. CoRR Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar
2010	Misc	`conf`	The Dawn of 22nm Era: Design and CAD Challenges. VLSI Design Ruchir Puri, David S. Kung
2009	—	`conf`	CAD challenges for 3D ICs. ASP-DAC David S. Kung, Ruchir Puri
2009	J	`jnl`	Guest Editors' Introduction: Opportunities and Challenges of 3D Integration. IEEE Des. Test Comput. David S. Kung, Yuan Xie
2009	J	`jnl`	The fate of stacking. IEEE Des. Test Comput. David S. Kung
2005	—	`conf`	Improving run times by pruned application of synthesis transforms. SBCCI Renato Fernandes Hentschke, Jagannathan Narasimhan, David S. Kung
2005	—	`conf`	Minimizing power with flexible voltage islands. ISCAS (1) Ruchir Puri, David S. Kung, Leon Stok
2005	J	`jnl`	Sensitivity guided net weighting for placement-driven synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Haoxing Ren, David Zhigang Pan, David S. Kung
2004	J	`jnl`	An Integrated Environment for Technology Closure of Deep-Submicron IC Designs. IEEE Des. Test Comput. Louise Trevillyan, David S. Kung, Ruchir Puri, Lakshmi N. Reddy, Michael A. Kazda
2004	—	`conf`	Sensitivity guided net weighting for placement driven synthesis. ISPD Haoxing Ren, David Zhigang Pan, David S. Kung
2004	A*	`conf`	Timing closure for low-FO4 microprocessor design. DAC David S. Kung
2003	A*	`conf`	Pushing ASIC performance in a power envelope. DAC Ruchir Puri, Leon Stok, John M. Cohn, David S. Kung, David Z. Pan, Dennis Sylvester, Ashish Srivastava, Sarvesh H. Kulkarni
2002	—	`conf`	Fast and accurate wire delay estimation for physical synthesis of large ASICs. ACM Great Lakes Symposium on VLSI Ruchir Puri, David S. Kung, Anthony D. Drumm
2000	J	`jnl`	Combinatorial cell design for CMOS libraries. Integr. Frederik Beeftink, Prabhakar Kudva, David S. Kung, Ruchir Puri, Leon Stok
1999	A	`conf`	Optimal P/N width ratio selection for standard cell libraries. ICCAD David S. Kung, Ruchir Puri
1998	A*	`conf`	A Fast Fanout Optimization Algorithm for Near-Continuous Buffer Libraries. DAC David S. Kung
1998	A	`conf`	Gate-size selection for standard cell libraries. ICCAD Frederik Beeftink, Prabhakar Kudva, David S. Kung, Leon Stok
1996	J	`jnl`	BooleDozer: Logic synthesis for ASICs. IBM J. Res. Dev. 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
1992	A*	`conf`	BDDMAP: A Technology Mapper Based on a New Covering Algorithm. DAC David S. Kung, Robert F. Damiano, Theresa A. Nix, David J. Geiger
1992	A	`conf`	Hazard-non-increasing gate-level optimization algorithms. ICCAD David S. Kung