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4th XLOOP@SC 2022: Dallas, TX, USA
- 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, XLOOP 2022, Dallas, TX, USA, November 13-18, 2022. IEEE 2022, ISBN 978-1-6654-7360-6
- Hongwei Chen, Sathya R. Chitturi, Rajan Plumley, Lingjia Shen, Nathan C. Drucker, Nicolas Burdet, Cheng Peng, Sougata Mardanya, Daniel Ratner, Aashwin Mishra, Chun Hong Yoon, Sanghoon Song, Matthieu Chollet, Gilberto Fabbris, Mike Dunne, Silke Nelson, Mingda Li, Aaron Lindenberg, Chunjing Jia, Youssef Nashed, Arun Bansil, Sugata Chowdhury, Adrian E. Feiguin, Joshua J. Turner, Jana Thayer:
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. 1-9 - 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. 10-15 - Frank Würthwein, Jonathan Guiang, Aashay Arora, Diego Davila, John Graham, Dima Mishin, Thomas Hutton, Igor Sfiligoi, Harvey B. Newman, Justas Balcas, Tom Lehman, Xi Yang, Chin Guok:
Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations. 16-19 - Maureen Dougherty, Jason Kaelber, James Barr von Oehsen, Morgan K. Ludwig, Kenneth Dalenberg, Jeremy Schafer, Michael Zink, Boyd Wilson, John Goodhue, Wolf Hey, D. Balamurugan:
The ERN Cryo-EM Federated Instrument Pilot Project: Phase 1. 20-25 - Dorra Ben Khalifa, Xinyi Li, Ignacio Laguna, Matthieu Martel, Ganesh Gopalakrishnan:
Toward Increasing Trust in Exascale Simulations. 26-31
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