Explore petascale computing in Julia through this JuliaCon 2017 conference talk on Celeste.jl. Dive into the world of supercomputers at the National Energy Research Supercomputing Center (NERSC) and learn about top data analytics problems. Discover how Celeste.jl tackles astronomical image analysis using Bayesian inference and variational methods. Follow the speakers as they discuss project goals, challenges in analyzing faint stars and galaxies, and the implementation of complex functions in Julia. Gain insights into performance optimization techniques, including vectorization, memory layout improvements, and utilization of multiple dispatch. Understand how the team solved large-scale I/O problems and achieved impressive performance results on the Cori Phase 2 supercomputer. This comprehensive talk covers everything from the basics of the Celeste.jl project to advanced optimization strategies, making it valuable for both Julia enthusiasts and those interested in high-performance computing in astronomy.
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