Nicholas Schwarz

According to our database, Nicholas Schwarz authored at least 21 papers between 2004 and 2023.

Collaborative distances:

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

2023

Rapid detection of rare events from in situ X-ray diffraction data using machine learning.

Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma

CoRR, 2023

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images.

Howard Yanxon, Eric J. Roberts, Hannah Parraga, James Weng, Wenqian Xu, Uta Ruett, Alexander Hexemer, Petrus H. Zwart, Nicholas Schwarz

CoRR, 2023

Streaming Data from Experimental Facilities to Supercomputers for Real-Time Data Processing.

Sinisa Veseli, John Hammonds, Steven Henke, Hannah Parraga, Nicholas Schwarz

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction.

Michael H. Prince, Doga Gürsoy, Dina Sheyfer, Ryan Chard, Benoît Côté, Hannah Parraga, Barbara Frosik, Jonathan Z. Tischler, Nicholas Schwarz

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Empowering Scientific Discovery Through Computing at the Advanced Photon Source.

Hannah Parraga, John Hammonds, Steven Henke, Sinisa Veseli, William E. Allcock, Benoît Côté, Ryan Chard, Suresh Narayanan, Nicholas Schwarz

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities.

Guanhua Hao, Eric J. Roberts, Tanny Chavez, Zhuowen Zhao, Elizabeth Holman, Howard Yanxon, Adam Green, Harinarayan Krishnan, Daniela Ushizima, Dylan McReynolds, Nicholas Schwarz, Petrus H. Zwart, Alexander Hexemer, Dilworth Parkinson

Proceedings of the Image Processing: Algorithms and Systems XXI, 2023

2022

Linking scientific instruments and computation: Patterns, technologies, and experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

Patterns, 2022

MLExchange: A web-based platform enabling exchangeable machine learning workflows.

Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer

CoRR, 2022

Artifact Identification in X-ray Diffraction Data using Machine Learning Methods.

Howard Yanxon, James Weng, Hannah Parraga, Wenqian Xu, Uta Ruett, Nicholas Schwarz

CoRR, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

CoRR, 2022

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies.

Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer

Proceedings of the 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2022

2021

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster

CoRR, 2021

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster

Proceedings of the 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2021

2020

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC.

Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2015

Accelerating Laue Depth Reconstruction Algorithm with CUDA.

Ke Yue, Nicholas Schwarz, Jonathan Z. Tischler

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2012

Data intensive science at synchrotron based 3D x-ray imaging facilities.

Francesco De Carlo, Xianghui Xiao, Kamel Fezzaa, Steve Wang, Nicholas Schwarz, Chris Jacobsen, Nikhilesh Chawla, Florian Fusseis

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2010

Distributed Volume Rendering for Scalable High-resolution Display Arrays.

Nicholas Schwarz, Jason Leigh

Proceedings of the GRAPP 2010, 2010

2006

Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter.

Rajvikram Singh, Nicholas Schwarz, Nut Taesombut, David Lee, Byungil Jeong, Luc Renambot, Abel W. Lin, Ruth West, Hiromu Otsuka, Sei Naito, Steven Peltier, Maryann E. Martone, Kazunori Nozaki, Jason Leigh, Mark H. Ellisman

Future Gener. Comput. Syst., 2006

The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory.

Jason Leigh, Luc Renambot, Andrew E. Johnson, Byungil Jeong, Ratko Jagodic, Nicholas Schwarz, Dmitry Svistula, Rajvikram Singh, Julieta Aguilera, Xi Wang, Venkatram Vishwanath, Brenda Lopez, Daniel J. Sandin, Tom Peterka, Javier Girado, Robert Kooima, Jinghua Ge, Lance Long, Alan Verlo, Thomas A. DeFanti, Maxine D. Brown, Donna J. Cox, Robert Patterson, Patrick Dorn, Paul Wefel, Stuart Levy, Jonas Talandis, Joe Reitzer, Tom Prudhomme, Tom Coffin, Brian Davis, Paul Wielinga, Bram Stolk, Gee Bum Koo, Jaeyoun Kim, Sangwoo Han, JongWon Kim, Brian Corrie II, Todd Zimmerman, Pierre Boulanger, Manuel Garcia

Future Gener. Comput. Syst., 2006

The first functional demonstration of optical virtual concatenation as a technique for achieving Terabit networking.

Akira Hirano, Luc Renambot, Byungil Jeong, Jason Leigh, Alan Verlo, Venkatram Vishwanath, Rajvikram Singh, Julieta Aguilera, Andrew E. Johnson, Thomas A. DeFanti, Lance Long, Nicholas Schwarz, Maxine D. Brown, Naohide Nagatsu, Yukio Tsukishima, Masahito Tomizawa, Yutaka Miyamoto, Masahiko Jinno, Yoshihiro Takigawa, Osamu Ishida

Future Gener. Comput. Syst., 2006

2004

Vol-a-Tile - A Tool for Interactive Exploration of Large Volumetric Data on Scalable Tiled Displays.

Nicholas Schwarz, Shalini Venkataraman, Luc Renambot, Naveen K. Krishnaprasad, Venkatram Vishwanath, Jason Leigh, Andrew E. Johnson, Graham Kent, Atul Nayak

Proceedings of the 15th IEEE Visualization Conference, 2004