Nicholas Schwarz

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 16

Top Topics

Machine Learning

Scientific Discovery

Lambertian Reflectance

Top Venues

Image Processing: Algorithms and Systems

Publications

Michael Prince, Doga Gürsoy, Dina Sheyfer, Ryan Chard, Benoît Côté, Hannah Parraga, Barbara Frosik, Jonathan Z. Tischler, Nicholas Schwarz
Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction. SC Workshops (2023)
Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma
Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR (2023)
Hannah Parraga, John Hammonds, Steven Henke, Sinisa Veseli, William E. Allcock, Benoît Côté, Ryan Chard, Suresh Narayanan, Nicholas Schwarz
Empowering Scientific Discovery Through Computing at the Advanced Photon Source. SC Workshops (2023)
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
Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. Image Processing: Algorithms and Systems (2023)
Howard Yanxon, Eric J. Roberts, Hannah Parraga, James Weng, Wenqian Xu, Uta Ruett, Alexander Hexemer, Petrus H. Zwart, Nicholas Schwarz
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images. CoRR (2023)
Sinisa Veseli, John Hammonds, Steven Henke, Hannah Parraga, Nicholas Schwarz
Streaming Data from Experimental Facilities to Supercomputers for Real-Time Data Processing. SC Workshops (2023)
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
MLExchange: A web-based platform enabling exchangeable machine learning workflows. CoRR (2022)
Ke Yue, Nicholas Schwarz, Jonathan Z. Tischler
Accelerating Laue Depth Reconstruction Algorithm with CUDA. CoRR (2022)
Howard Yanxon, James Weng, Hannah Parraga, Wenqian Xu, Uta Ruett, Nicholas Schwarz
Artifact Identification in X-ray Diffraction Data using Machine Learning Methods. CoRR (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3 (10) (2022)
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
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. XLOOP@SC (2022)
Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC (2021)
Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR (2021)
Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer
Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. SMC (2020)
Ke Yue, Nicholas Schwarz, Jonathan Z. Tischler
Accelerating Laue Depth Reconstruction Algorithm with CUDA. CLUSTER (2015)
Francesco De Carlo, Xianghui Xiao, Kamel Fezzaa, Steve Wang, Nicholas Schwarz, Chris Jacobsen, Nikhilesh Chawla, Florian Fusseis
Data intensive science at synchrotron based 3D x-ray imaging facilities. eScience (2012)
Nicholas Schwarz, Jason Leigh
Distributed Volume Rendering for Scalable High-resolution Display Arrays. GRAPP (2010)
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
The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory. Future Gener. Comput. Syst. 22 (8) (2006)
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
The first functional demonstration of optical virtual concatenation as a technique for achieving Terabit networking. Future Gener. Comput. Syst. 22 (8) (2006)
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
Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter. Future Gener. Comput. Syst. 22 (8) (2006)
Nicholas Schwarz, Shalini Venkataraman, Luc Renambot, Naveen K. Krishnaprasad, Venkatram Vishwanath, Jason Leigh, Andrew E. Johnson, Graham Kent, Atul Nayak
Vol-a-Tile - A Tool for Interactive Exploration of Large Volumetric Data on Scalable Tiled Displays. IEEE Visualization (2004)