Ulrich Finkler

Publication Activity (10 Years)

Years Active: 1996-2021
Publications (10 Years): 26

Top Venues

CoRR

IBM J. Res. Dev.

ICASSP

Proc. VLDB Endow.

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

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)
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 (2021)
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)
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 (2021)
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 (2021)
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)
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)
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 (2020)
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 (2020)
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 (2020)
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 (2020)
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) (2020)
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) (2020)
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 (2020)
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 (2019)
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)
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)
Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR (2019)
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) (2019)
Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter
BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. MLSys (2019)
Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar
PowerAI DDL. CoRR (2017)
Ulrich Finkler, Hubertus Franke, David S. Kung
DYCE: A Resilient Shared Memory Paradigm for Heterogenous Distributed Systems without Memory Coherence. Conf. Computing Frontiers (2017)
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)
Amith Singhee, Ulrich Finkler, Steven Hirsch, Mark A. Lavin, Fook-Luen Heng, A. P. Kumar, Jun Mei Qu, E. Pelletier
A platform for the next generation of smarter energy applications. IBM J. Res. Dev. 60 (1) (2016)
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)
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) (2015)
Steven Hirsch, Ulrich Finkler
To Thread or Not to Thread. IEEE Des. Test 30 (1) (2013)
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) (2010)
Alexey Lvov, Ulrich Finkler
Exact basic geometric operations on arbitrary angle polygons using only fixed size integer coordinates. ICCAD (2008)
Ulrich Finkler, Kurt Mehlhorn
Checking Priority Queues. SODA (1999)
Gruia Calinescu, Cristina G. Fernandes, Ulrich Finkler, Howard J. Karloff
A Better Approximation Algorithm for Finding Planar Subgraphs. J. Algorithms 27 (2) (1998)
Ulrich Finkler, Kurt Mehlhorn
Runtime Prediction of Real Programs on Real Machines. SODA (1997)
Gruia Calinescu, Cristina G. Fernandes, Ulrich Finkler, Howard J. Karloff
A Better Approximation Algorithm for Finding Planar Subgraphs. SODA (1996)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ulrich Finkler