Runtime Prediction of Real Programs on Real Machines. - Ulrich Finkler; Kurt Mehlhorn (SODA, 1997)

Design of efficient and correct algorithms: theoretical results and runtime prediction of implementations in practice. - Ulrich Finkler (1997)

A Better Approximation Algorithm for Finding Planar Subgraphs. - Gruia Calinescu; Cristina G. Fernandes; Ulrich Finkler; Howard J. Karloff (J. Algorithms, 1998)

Checking Priority Queues. - Ulrich Finkler; Kurt Mehlhorn (SODA, 1999)

Exact basic geometric operations on arbitrary angle polygons using only fixed size integer coordinates. - Alexey Lvov; Ulrich Finkler (ICCAD, 2008)

An Analytic Framework for Detailed Resource Profiling in Large and Parallel Programs and Its Application for Memory Use. - Ulrich Finkler (IEEE Trans. Computers, 2010)

To Thread or Not to Thread. - Steven Hirsch; Ulrich Finkler (IEEE Des. Test, 2013)

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 (e-Energy, 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)

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 (Financial Cryptography, 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)

DYCE: A Resilient Shared Memory Paradigm for Heterogenous Distributed Systems without Memory Coherence. - Ulrich Finkler; Hubertus Franke; David S. Kung 001 (Conf. Computing Frontiers, 2017)

PowerAI DDL. - Minsik Cho; Ulrich Finkler; Sameer Kumar 001; David S. Kung 001; Vaibhav Saxena; Dheeraj Sreedhar (CoRR, 2017)

Distributed Deep Learning Strategies for Automatic Speech Recognition. - Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; Brian Kingsbury; George Saon; David S. Kung 001; Michael Picheny (ICASSP, 2019)

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. - Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; George Saon; Abdullah Kayi; Alper Buyuktosunoglu; Brian Kingsbury; David S. Kung 001; Michael Picheny (INTERSPEECH, 2019)

BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. - Minsik Cho; Ulrich Finkler; David S. Kung 001; Hillery C. Hunter (SysML, 2019)

BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy. - Minsik Cho; Ulrich Finkler; Mauricio J. Serrano; David S. Kung 001; Hillery C. Hunter (IBM J. Res. Dev., 2019)

Improving Efficiency in Large-Scale Decentralized Distributed Training. - Wei Zhang 022; Xiaodong Cui; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; Youssef Mroueh; Alper Buyuktosunoglu; Payel Das; David S. Kung 001; Michael Picheny (ICASSP, 2020)

Map Generation from Large Scale Incomplete and Inaccurate Data Labels. - Rui Zhang; Conrad M. Albrecht; Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; David S. Kung 001; Siyuan Lu 003 (KDD, 2020)

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. - Xiaodong Cui; Wei Zhang 022; Ulrich Finkler; George Saon; Michael Picheny; David S. Kung 001 (CoRR, 2020)

Large Scale Neural Architecture Search with Polyharmonic Splines. - Ulrich Finkler; Michele Merler; Rameswar Panda; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Chun-Fu Chen 001; Minsik Cho; David S. Kung 001; Rogério Feris; Bishwaranjan Bhattacharjee (CoRR, 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 022; Carlo Siebenschuh; et al. (ISPRS Int. J. Geo Inf., 2020)

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. - Xiaodong Cui; Wei Zhang 022; Ulrich Finkler; George Saon; Michael Picheny; David S. Kung 001 (IEEE Signal Process. Mag., 2020)

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. - Rameswar Panda; Michele Merler; Mayoore S. Jaiswal; Hui Wu 009; Kandan Ramakrishnan; Ulrich Finkler; Chun-Fu (Richard) Chen; Minsik Cho; Rogério Feris; David S. Kung 001; Bishwaranjan Bhattacharjee (AAAI, 2021)

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Ruchir Puri; David S. Kung 001; Geert Janssen; Wei Zhang 022; Giacomo Domeniconi; Vladimir Zolotov; Julian Dolby; Jie Chen 007; Mihir R. Choudhury; Lindsey Decker; Veronika Thost; Luca Buratti; et al. (NeurIPS Datasets and Benchmarks, 2021)

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Ruchir Puri; David S. Kung 001; Geert Janssen; Wei Zhang 022; Giacomo Domeniconi; Vladimir Zolotov; Julian Dolby; Jie Chen 007; Mihir R. Choudhury; Lindsey Decker; Veronika Thost; Luca Buratti; et al. (CoRR, 2021)

Asynchronous Decentralized Distributed Training of Acoustic Models. - Xiaodong Cui; Wei Zhang 022; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; David S. Kung 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)