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Upcoming Seminars
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Nov. 20: In situ visualization with task-based parallelism
Date: TBDNov. 20, 3pm
Speaker: Alan Heirich
Abstract: This short paper describes an experimental prototype of in situ visualization in a task-based parallel programming framework. A set of reusable visualization tasks were composed with an existing simulation. The visualization tasks include a local OpenGL renderer, a parallel image compositor, and a display task. These tasks were added to an existing fluid-particle-radiation simulation and weak scaling tests were run on up to 512 nodes of the Piz Daint supercomputer. Benchmarks showed that the visualization components scaled and did not reduce the simulation throughput. The compositor latency increased logarithmically with increasing node count.
Dec. 4: On analyzing urban form at global scale with remote sensing data and generative adversarial networks
Date: Dec. 4, 3pm
Speaker: Adrian Albert
Abstract: Current analyses of urban development use either simple, bottom-up models, that have limited predictive performance, or highly engineered, complex models relying on many sources of survey data that are typically scarce and difficult and expensive to collect. This talk presents work-in-progress developing a data-driven, flexible, non-parametric framework to simulate realistic urban forms using generative adversarial networks and planetary-level remote-sensing data. To train our urban simulator, we curate and put forth a new dataset on urban form, integrating spatial distribution maps of population, nighttime luminosity, and built land densities, as well as best-available information on city administrative boundaries for $30,000$ of the world's largest cities. This is the first analysis to date of urban form using modern generative models and remote-sensing data.
Undulator Tapering with Reinforcement Learning
Date: TBD
Speaker: Juhao Wu
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