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SUMMARY:The Real Information in Climate Simulations - Milan Klöwer\, Mass
 achusetts Institute of Technology
DTSTART:20231215T130000Z
DTEND:20231215T140000Z
UID:TALK204445@talks.cam.ac.uk
CONTACT:114742
DESCRIPTION:Progress towards more reliable weather and climate forecasts i
 s limited by the resolution of numerical models and the complexity of simu
 lated processes. Performance is therefore a major bottleneck and most curr
 ent models are barely computationally efficient. High-precision calculatio
 ns are unnecessary\, despite being the standard\, given the uncertainties 
 in the climate system and the errors from discretisation\, data assimilati
 on and unresolved climate processes. I will outline several aspects of low
 -precision climate computing to preserve information despite fewer bits: (
 1) The real bitwise information content used to compress the very large vo
 lume of climate data produced by numerical models\, while minimising infor
 mation loss. (2) Understanding rounding errors in simple dynamical systems
 \, that arise from the standard floating-point numbers and other number fo
 rmats. (3) Advances towards 16-bit climate models\, which would be a major
  step towards computationally efficient digital twins of the Earth's clima
 te system. (4) How the Julia programming language enables number format-fl
 exible models without sacrificing performance while accelerating productiv
 ity with interactivity and extensibility.\n\nBio:\n\nMilan is a postdoctor
 al associate in climate modelling at the Massachusetts Institute of Techno
 logy. He received his PhD from Oxford working on low-precision climate com
 puting and data compression. During his PhD\, Milan established the concep
 t of the bitwise real information content for data compression. He worked 
 with posit numbers and stochastic rounding and invented a logarithmic fixe
 d-point number format. He ran the first 16-bit weather and climate simulat
 ion on Fujitsu's A64FX\, the CPU that powers Fugaku. He writes and maintai
 ns many Julia packages. Most recently\, he wrote SpeedyWeather.jl\, an atm
 ospheric general circulation model with a focus on interactivity and exten
 sibility to further accelerate research into computationally efficient wea
 ther and climate models.
LOCATION:FW11\, William Gates Building. Zoom link: https://cl-cam-ac-uk.zo
 om.us/j/4361570789?pwd=Nkl2T3ZLaTZwRm05bzRTOUUxY3Q4QT09&amp\;from=addon 
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