Presentation
How I Learned to Stop Worrying and Love the Data Deluge
DescriptionAdvanced data and computing systems are vital to Linac Coherent Light Source (LCLS) operations, data interpretation and overall scientific productivity. The transition to MHz-era operation marks a fundamental change in scale that requires new infrastructure and architectures to link LCLS to the required scale of computing needed for scientific interpretation. The LCLS-II Data System leverages access to high performance compute to reduce time to science, improve the efficiency and quality of acquired data sets, and solve exascale problems that cannot be solved by other means. Feature extracted information generated in the data analysis pipeline — at the edge, local compute, or remote HPC resources — can be used to steer experiments and inform user decisions during beam time. AI/ML presents new opportunities to rapidly analyze large datasets and direct experiments, but creates its own challenges in scaling, adaptability, complexity, and trustworthiness. Collectively these advances are poised to significantly enhance experimental output and enable groundbreaking scientific exploration. We discuss the overall challenges facing LCLS, and explore the opportunities afforded by fully leveraging the remote HPC resources of the DOE complex.
Event Type
Invited Talk
TimeWednesday, 20 November 202410:30am - 11:15am EST
LocationExhibit Hall A3
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