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BEGIN:VEVENT
DTSTART;TZID=Atlantic/Canary:20210518T170000
DTEND;TZID=Atlantic/Canary:20210518T180000
UID:iactalks-1475
X-WR-CALNAME: IAC Talks: Open Astronomy Seminars
X-ORIGINAL-URL: /iactalks/Talks/view/1475
CREATED:2021-05-18T17:00:00+01:00
X-WR-CALDESC: IAC Talks upcomming talks
SUMMARY:1st IAU-G5 seminar: The revolution of task-based computing, applied
  to stellar and  planetary atmospheres
DESCRIPTION:1st IAU-G5 seminar: The revolution of task-based computing, app
 lied to stellar and  planetary atmospheres\nProf. ºAke Nordlund\n\n(This 
 seminar is organized by the IAU G5 commission on stellar and planetary atm
 ospheres) \nTask-based computing is a method where computational prob
 lems are split   into a large number of semi-independent tasks (
 cf.   2018MNRAS.477..624N). The method is a general one, with ap
 plication not   limited to traditional grid-based simulations; i
 t can be applied with   advantages also to particle-based and hy
 brid simulations, which involve   both particles and fields. The
  main advantages emerge when doing   simulations of very complex
  and / or multi-scale systems, where the   cost of updating is v
 ery unevenly distributed in space, with perhaps   large volumes 
 with very low update cost and small but important regions   with
  large update costs.   Possible applications in the context of s
 tellar atmospheres include   modelling that covers large scales,
  such as whole active regions on the   Sun or even the entire Su
 n, while at the same time allows resolving   small-scale details
  in the photosphere, chromosphere, and corona. In   the context 
 of planetary atmospheres, models of pebble-accreting hot   primo
 rdial atmospheres that cover all scales, from the surfaces of   
 Mars- and Earth-size embryos to the scale heights of the surrounding 
   protoplanetary disks, have already been computed (2018MNRAS.479.513
 6P,   2019MNRAS.482L.107P), and one can envision a number of app
 lications   where the task-based computing advantage is leverage
 d, for example to   selectively do the detailed chemistry necess
 ary to treat atmospheres   saturated with evaporated solids, or 
 to do complex cloud chemistry   combined with 3-D radiative tran
 sfer.   In the talk I will give a quick overview of the principl
 es behind   task-based computing, and then use both already publ
 ished and still   on-going work to illustrate how this may be us
 ed in practice. I will   finish by discussing how these methods 
 could be applied with great   advantage to problems such as non-
 equilibrium ionization, non-LTE   radiative transfer, and partia
 l redistribution diagnostics of spectral   lines.
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