All paper talks are 15 minutes plus 5 minutes for questions.
The SC agenda is here:
https://sc21.hubb.me/fe/schedule-builder/sessions/880249
| Time | Session | Event |
| 8:30 | Invited Speaker | Georgia Tourassi (ORNL) Title: Leadership Computing in Support of Cross-Facility Workflows The DOE Leadership Computing Facilities (LCFs) support extreme-scale computational and data campaigns that are typically one or two orders of magnitude larger than what might be feasible in typical institutional clusters. These campaigns at the extreme end of computing lend themselves to high-resolution exploration of natural systems in which theoretical models are used to delve into increasingly complex system dynamics. In the last decade, large-scale data analysis phases have become a vital part of scientific modeling and simulation-driven computational campaigns. The data analysis at scale is needed for large-scale AI training, and crucially, for processing data from observational facilities generating higher resolution voluminous data. Processing data from observational science facilities offers the promise of executing cross-facility campaigns more efficiently, and steering the physical experiment in real-time through co-executing computation. I will discuss emerging design patterns for intra- and cross-facility workflows, and raise important challenges that are ahead of us in making such computational and data environments a reality. |
| 9:00 | Papers 1: Infrastructure Chair: Debbie Bard (LBL) | ALS Share, a Lightweight Data Sharing Service for a Synchrotron Radiation Facility by Bear, Parkinson, Gerhardt, Sibony, and Enders |
| Designing a Streaming Data Coalescing Architecture for Scientific Detector ASICs with Variable Data Velocity by Strempfer, Yoshii, Hammer, Miceli, and Bycul | ||
| Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval by Liu, Ali, Kenesei, Miceli, Sharma, Schwarz, Trujillo, Yoo, Coffee, Layad, Herbst, Thayer, Yoon, and Foster | ||
| 10:00 | Break | |
| 10:30 | Papers 2: Algorithms Chair: Christine Sweeney (LANL) | High-Performance Hybrid-Global-Deflated-Local Optimization with Applications to Active Learning by Noack |
| Adversarial Attacks against AI-driven Experimental Peptide Design Workflows by Ramanathan and Jha | ||
| Optimizing High-Throughput Capabilities by Leveraging Reinforcement Learning Methods with the Bluesky Suite by Olds, Allan, Caswell, Lynch, Maffettone and Campbell | ||
| 11:30 | Panel Chair: Eli Dart (ESnet) | Panelists: Thomas Caswell (BNL), Kurt H Maier (PNNL), Mark Neubauer (UIUC) |
| 11:55 | Awards | XLOOP Chairs Best paper Best presentation |
XLOOP Presentation Poll: https://forms.gle/NBTvWAUYNpdpK5nt5