Git Product home page Git Product logo

Comments (4)

pwolfram avatar pwolfram commented on June 21, 2024

@bradyrx, we previously had this capability to compute particle diffusivity. But, this increased cost because these values had to be both computed, stored, and then communicated (adding to the main LIGHT bottleneck). This is something we could get backonline, especially given the infrastructure we put together.

The key question-- can you afford additional slowdown at runtime due to having this included?

cc @maltrud to make sure he is engaged in the conversation too.

from mpas-model.

bradyrx avatar bradyrx commented on June 21, 2024

Would this fundamentally be additive slowdown relative to what we already have going? Currently, every two days (in our I/O case), the instantaneous tracer fields are interpolated to the particles and added to the netCDF to be stored. The velocity fields are also interpolated to the particles to advect for the next time step, so couldn't these be stored in the same manner as the tracers? Theoretically I feel like it would be the same I/O bottleneck we have, but of course we'd have to see in practice what it would cost.

I'm only suggesting it since I'm seeing the volume transport computation coming up in the literature so much. Although, the caveat there seems to be you need to densely seed a given grid cell for that volume transport to be conserved. So it would really have to go hand-in-hand with an initialization that densely seeds and resets a specific region of the ocean.

from mpas-model.

pwolfram avatar pwolfram commented on June 21, 2024

If I recall correctly, we aren't super densely seeding and then rapidly resending a portion of the ocean, are we? Ideally, how do you want this to work in practice in terms of horizontal resolution and reset time?

from mpas-model.

pwolfram avatar pwolfram commented on June 21, 2024

The slowdown would be largely due to communication, so if you have X BGC tracers now, it would roughly run something like (X+2)/X longer.

from mpas-model.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.