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 001; Graham Kent; Atul Nayak (IEEE Visualization, 2004)

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 001; Thomas A. DeFanti; Lance Long; Nicholas Schwarz; et al. (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 001; Byungil Jeong; Ratko Jagodic; Nicholas Schwarz; Dmitry Svistula; Rajvikram Singh; Julieta Aguilera; Xi Wang; Venkatram Vishwanath; Brenda Lopez; et al. (Future Gener. Comput. Syst., 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; et al. (Future Gener. Comput. Syst., 2006)

Distributed Volume Rendering for Scalable High-resolution Display Arrays. - Nicholas Schwarz; Jason Leigh (GRAPP, 2010)

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 (eScience, 2012)

Accelerating Laue Depth Reconstruction Algorithm with CUDA. - Ke Yue; Nicholas Schwarz; Jonathan Z. Tischler (CLUSTER, 2015)

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. - Nicholas Schwarz; Stuart Campbell; Alexander Hexemer; Apurva Mehta; Jana Thayer (SMC, 2020)

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; et al. (XLOOP@SC, 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; et al. (CoRR, 2021)

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; et al. (XLOOP@SC, 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; et al. (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)

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; et al. (CoRR, 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; et al. (Patterns, 2022)

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; et al. (Image Processing: Algorithms and Systems, 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 (SC Workshops, 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 (SC Workshops, 2023)

Streaming Data from Experimental Facilities to Supercomputers for Real-Time Data Processing. - Sinisa Veseli; John Hammonds; Steven Henke; Hannah Parraga; Nicholas Schwarz (SC Workshops, 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)

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)

Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. - Weijian Zheng; Hemant Sharma; Ryan Chard; Peter Kenesei; Jun-Sang Park; Nicholas Schwarz; Antonino Miceli; Ian T. Foster; Rajkumar Kettimuthu (IEEE Big Data, 2024)

Portable Cross-Facility Workflows for X-ray Ptychography. - Albert Vong; Steven F. Henke; Oliver Hoidn; Hannah Parraga; Tao Zhou; Apurva Mehta; Nicholas Schwarz (SC Workshops, 2024)