Giter Site home page Giter Site logo

Comments (1)

ProjectPhysX avatar ProjectPhysX commented on June 7, 2024

Hi @h3mosphere,

you can do this quite easily: once you have copied the data from VRAM to RAM with read_from_device(), you can spawn a new detached thread on the CPU side and immediately continue the simulation on GPU.
This detached thread then can take its time to do the memory copy and do other processing on the data. You only have to wait for it to finish the memory copy (use std::atomic_int variables here) before the next read_from_device() call happens and overwrites the original CPU data.

This is very similar to how I'm already doing the .png image export: here the read_from_device() + one CPU copy happen sequentially (the pause is really short, as the data is only a few MB), and then I spawn a detached thread for .png compression, which takes much longer. If you export a lot of 4K images in rapid succession, you'll notice CPU load going to 100%, when all cores are busy doing .png compression, each on one image.

Kind regards,
Moritz

from fluidx3d.

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.