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3rd XLOOP@SC 2021: St. Louis, MO, USA
- 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
- Soren Bear, Dula Parkinson, Lisa Gerhardt, Mel Sibony, Bjoern Enders:
ALS Share, a Lightweight Data Sharing Service for a Synchrotron Radiation Facility. 1-7 - 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 - 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 - Marcus Michael Noack, David Perryman, Harinarayan Krishnan, Petrus H. Zwart:
High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning. 24-29 - Arvind Ramanathan, Sumit Kumar Jha
:
Adversarial Attacks against AI-driven Experimental Peptide Design Workflows. 30-35 - 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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