Ulrich Finkler

According to our database, Ulrich Finkler authored at least 27 papers between 1997 and 2021.

Collaborative distances:

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

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

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling.

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

ISPRS Int. J. Geo Inf., 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 Machine Learning and Systems 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 Interspeech 2019, 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

2016

A platform for the next generation of smarter energy applications.

Amith Singhee, Ulrich Finkler, Steven Hirsch, Mark A. Lavin, Fook-Luen Heng, Ashok Pon Kumar, Jun Mei Qu, Etienne Pelletier

IBM J. Res. Dev., 2016

Graph Analytics for Real-Time Scoring of Cross-Channel Transactional Fraud.

Ian M. Molloy, Suresh Chari, Ulrich Finkler, Mark Wiggerman, Coen Jonker, Ted Habeck, Youngja Park, Frank Jordens, Ron van Schaik

Proceedings of the Financial Cryptography and Data Security, 2016

2015

PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort.

Minsik Cho, Daniel Brand, Rajesh Bordawekar, Ulrich Finkler, Vincent KulandaiSamy, Ruchir Puri

Proc. VLDB Endow., 2015

HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs.

Amith Singhee, Mark A. Lavin, Ulrich Finkler, Fook-Luen Heng, Jun Mei Qu, Steven Hirsch

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2013

To Thread or Not to Thread.

Steven Hirsch, Ulrich Finkler

IEEE Des. Test, 2013

2010

An Analytic Framework for Detailed Resource Profiling in Large and Parallel Programs and Its Application for Memory Use.

Ulrich Finkler

IEEE Trans. Computers, 2010

2008

Exact basic geometric operations on arbitrary angle polygons using only fixed size integer coordinates.

Alexey Lvov, Ulrich Finkler

Proceedings of the 2008 International Conference on Computer-Aided Design, 2008

1999

Checking Priority Queues.

Ulrich Finkler, Kurt Mehlhorn

Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, 1999

1998

A Better Approximation Algorithm for Finding Planar Subgraphs.

Gruia Calinescu, Cristina G. Fernandes, Ulrich Finkler, Howard J. Karloff

J. Algorithms, 1998

1997

Design of efficient and correct algorithms: theoretical results and runtime prediction of implementations in practice.

Ulrich Finkler

PhD thesis, 1997

Runtime Prediction of Real Programs on Real Machines.

Ulrich Finkler, Kurt Mehlhorn

Proceedings of the Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 1997