Code Monkey home page Code Monkey logo

Comments (3)

DaAwesomeP avatar DaAwesomeP commented on May 24, 2024

Hi, I am also seeing poor performance with colliders. In my case I do have many many colliders at a time, but when I scale down I do not see the expected performance improvement.

Is it possible to further parallelize collect_collisions? When I run a trace, I see the initialization run in a task pool but collect_collisions always appears in the main thread (I suppose Bevy/Rayon could be deciding this is best). I see it is using par_splat_map but for some reason it is not chopping up chunks into threads for me--it does it all at once in the main thread.
I was not tracing properly.

from bevy_xpbd.

DaAwesomeP avatar DaAwesomeP commented on May 24, 2024

Another thing I found: If I spawn a bunch of colliders, check some collisions, and remove layer filters until the only remaining filters are ones without any collider memberships, then I don't get any performance back. The performance indicates that it calculates the same collisions regardless of filters.

from bevy_xpbd.

DaAwesomeP avatar DaAwesomeP commented on May 24, 2024

Another idea (from Rapier): there should be an option to skip computing contact points (just collisions) for some colliders (i.e. sensors). It would also be a nice optimization to skip recomputing collisions if at least one of the objects is a sensor and has not moved since the last computation.

from bevy_xpbd.

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.