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2020 – today
- 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)- [c14]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 - [c13]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 - [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
- [j8]Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu:
Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. ISPRS Int. J. Geo Inf. 9(7): 427 (2020) - [j7]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) - [c12]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 - [c11]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 - [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)
2010 – 2019
- 2019
- [j6]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) - [c10]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 - [c9]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 - [c8]Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter:
BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. SysML 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
- [c7]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 - [i1]Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar:
PowerAI DDL. CoRR abs/1708.02188 (2017) - 2016
- [j5]Amith Singhee, Ulrich Finkler, Steven Hirsch, Mark A. Lavin, Fook-Luen Heng, Ashok Pon Kumar, Jun Mei Qu, Etienne Pelletier:
A platform for the next generation of smarter energy applications. IBM J. Res. Dev. 60(1) (2016) - [c6]Ian M. Molloy, Suresh Chari, Ulrich Finkler, Mark Wiggerman, Coen Jonker, Ted Habeck, Youngja Park, Frank Jordens, Ron van Schaik:
Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud. Financial Cryptography 2016: 22-40 - 2015
- [j4]Minsik Cho, Daniel Brand, Rajesh Bordawekar, Ulrich Finkler, Vincent KulandaiSamy, Ruchir Puri:
PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort. Proc. VLDB Endow. 8(12): 1518-1529 (2015) - [c5]Amith Singhee, Mark A. Lavin, Ulrich Finkler, Fook-Luen Heng, Jun Mei Qu, Steven Hirsch:
HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs. e-Energy 2015: 171-178 - 2013
- [j3]Steven Hirsch, Ulrich Finkler:
To Thread or Not to Thread. IEEE Des. Test 30(1): 17-25 (2013) - 2010
- [j2]Ulrich Finkler:
An Analytic Framework for Detailed Resource Profiling in Large and Parallel Programs and Its Application for Memory Use. IEEE Trans. Computers 59(3): 358-370 (2010)
2000 – 2009
- 2008
- [c4]Alexey Lvov, Ulrich Finkler:
Exact basic geometric operations on arbitrary angle polygons using only fixed size integer coordinates. ICCAD 2008: 494-498
1990 – 1999
- 1999
- [c3]Ulrich Finkler, Kurt Mehlhorn:
Checking Priority Queues. SODA 1999: 901-902 - 1998
- [j1]Gruia Calinescu, Cristina G. Fernandes, Ulrich Finkler, Howard J. Karloff:
A Better Approximation Algorithm for Finding Planar Subgraphs. J. Algorithms 27(2): 269-302 (1998) - 1997
- [b1]Ulrich Finkler:
Design of efficient and correct algorithms: theoretical results and runtime prediction of implementations in practice. Saarland University, 1997, pp. 1-128 - [c2]Ulrich Finkler, Kurt Mehlhorn:
Runtime Prediction of Real Programs on Real Machines. SODA 1997: 380-389 - 1996
- [c1]Gruia Calinescu, Cristina G. Fernandes, Ulrich Finkler, Howard J. Karloff:
A Better Approximation Algorithm for Finding Planar Subgraphs. SODA 1996: 16-25
Coauthor Index
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