Nicholas Schwarz

28 papers A 2B 2C 1Journal 13Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Pty-Chi: A PyTorch-based modern ptychographic data analysis package. CoRR Ming Du, Hanna Ruth, Steven Henke, Yi Jiang, Viktor Nikitin, Ashish Tripathi, Junjing Deng, Jeffrey Klug, Peco Myint, Tao Zhou, Nicholas Schwarz, Mathew J. Cherukara, Alec Sandy, Stefan Vogt
2025	—	`conf`	Streaming X-ray Detector Data to Remote Facilities Using EJFAT. SC Workshops Sinisa Veseli, John Hammonds, Steven Henke, Madeline Miller, Hannah Parraga, Ilya Baldin, Derek Howard, Yatish Kumar, Nicholas Schwarz
2025	J	`jnl`	Towards generalizable deep ptychography neural networks. CoRR Albert Vong, Steven Henke, Oliver Hoidn, Hanna Ruth, Junjing Deng, Alexander Hexemer, Apurva Mehta, Arianna Gleason, Levi Hancock, Nicholas Schwarz
2025	A	`conf`	lsCOMP: Efficient Light Source Compression. SC Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello
2024	B	`conf`	Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. IEEE Big Data Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu
2024	—	`conf`	Portable Cross-Facility Workflows for X-ray Ptychography. SC Workshops Albert Vong, Steven F. Henke, Oliver Hoidn, Hannah Parraga, Tao Zhou, Apurva Mehta, Nicholas Schwarz
2023	—	`conf`	Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction. SC Workshops Michael H. Prince, Doga Gürsoy, Dina Sheyfer, Ryan Chard, Benoît Côté, Hannah Parraga, Barbara Frosik, Jonathan Z. Tischler, Nicholas Schwarz
2023	—	`conf`	Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. Image Processing: Algorithms and Systems 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
2023	—	`conf`	Empowering Scientific Discovery Through Computing at the Advanced Photon Source. SC Workshops Hannah Parraga, John Hammonds, Steven Henke, Sinisa Veseli, William E. Allcock, Benoît Côté, Ryan Chard, Suresh Narayanan, Nicholas Schwarz
2023	J	`jnl`	Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images. CoRR Howard Yanxon, Eric J. Roberts, Hannah Parraga, James Weng, Wenqian Xu, Uta Ruett, Alexander Hexemer, Petrus H. Zwart, Nicholas Schwarz
2023	J	`jnl`	Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma
2023	—	`conf`	Streaming Data from Experimental Facilities to Supercomputers for Real-Time Data Processing. SC Workshops Sinisa Veseli, John Hammonds, Steven Henke, Hannah Parraga, Nicholas Schwarz
2022	J	`jnl`	Accelerating Laue Depth Reconstruction Algorithm with CUDA. CoRR Ke Yue, Nicholas Schwarz, Jonathan Z. Tischler
2022	J	`jnl`	Artifact Identification in X-ray Diffraction Data using Machine Learning Methods. CoRR Howard Yanxon, James Weng, Hannah Parraga, Wenqian Xu, Uta Ruett, Nicholas Schwarz
2022	J	`jnl`	Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR 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
2022	J	`jnl`	Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 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
2022	—	`conf`	MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. XLOOP@SC 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
2022	J	`jnl`	MLExchange: A web-based platform enabling exchangeable machine learning workflows. CoRR 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
2021	J	`jnl`	Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR 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
2021	—	`conf`	Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC 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
2020	B	`conf`	Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. SMC Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer
2015	C	`conf`	Accelerating Laue Depth Reconstruction Algorithm with CUDA. CLUSTER Ke Yue, Nicholas Schwarz, Jonathan Z. Tischler
2012	—	`conf`	Data intensive science at synchrotron based 3D x-ray imaging facilities. eScience Francesco De Carlo, Xianghui Xiao, Kamel Fezzaa, Steve Wang, Nicholas Schwarz, Chris Jacobsen, Nikhilesh Chawla, Florian Fusseis
2010	—	`conf`	Distributed Volume Rendering for Scalable High-resolution Display Arrays. GRAPP Nicholas Schwarz, Jason Leigh
2006	J	`jnl`	Real-time multi-scale brain data acquisition, assembly, and analysis using an end-to-end OptIPuter. Future Gener. Comput. Syst. 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
2006	J	`jnl`	The first functional demonstration of optical virtual concatenation as a technique for achieving Terabit networking. Future Gener. Comput. Syst. 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
2006	J	`jnl`	The global lambda visualization facility: An international ultra-high-definition wide-area visualization collaboratory. Future Gener. Comput. Syst. 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
2004	A	`conf`	Vol-a-Tile - A Tool for Interactive Exploration of Large Volumetric Data on Scalable Tiled Displays. IEEE Visualization Nicholas Schwarz, Shalini Venkataraman, Luc Renambot, Naveen K. Krishnaprasad, Venkatram Vishwanath, Jason Leigh, Andrew E. Johnson, Graham Kent, Atul Nayak