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3rd XLOOP@SC 2021: St. Louis, MO, USA

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3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, XLOOP@SC 2021, St. Louis, MO, USA, November 19, 2021. IEEE 2021, ISBN 978-1-6654-1122-6
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Soren Bear, Dula Parkinson, Lisa Gerhardt, Mel Sibony, Bjoern Enders:
ALS Share, a Lightweight Data Sharing Service for a Synchrotron Radiation Facility. 1-7
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Sebastian Strempfer, Kazutomo Yoshii, Mike Hammer, Dawid Bycul, Antonino Miceli:
Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity. 8-14
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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:
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. 15-23
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Marcus Michael Noack, David Perryman, Harinarayan Krishnan, Petrus H. Zwart:
High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning. 24-29
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Arvind Ramanathan, Sumit Kumar Jha:
Adversarial Attacks against AI-driven Experimental Peptide Design Workflows. 30-35
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Daniel Olds, Daniel B. Allan, Thomas A. Caswell, Joshua K. Lynch, Phillip M. Maffettone, Stuart I. Campbell:
Optimizing High- Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite. 36-42

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