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#rasterization — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #rasterization, aggregated by home.social.

  1. 🚀💻 "Breaking News: #CPUs are apparently tired of rendering vector graphics, and it’s time for #GPUs to shine! 🎨🖥️ The author heroically suggests #rasterization magic that might just revolutionize drawing circles, minus the antialiasing of course—because who needs smooth edges in 2023?" 🤔⬛
    gasiulis.name/vector-graphics- #VectorGraphics #TechNews #HackerNews #ngated

  2. 🚀💻 "Breaking News: #CPUs are apparently tired of rendering vector graphics, and it’s time for #GPUs to shine! 🎨🖥️ The author heroically suggests #rasterization magic that might just revolutionize drawing circles, minus the antialiasing of course—because who needs smooth edges in 2023?" 🤔⬛
    gasiulis.name/vector-graphics- #VectorGraphics #TechNews #HackerNews #ngated

  3. 🚀💻 "Breaking News: #CPUs are apparently tired of rendering vector graphics, and it’s time for #GPUs to shine! 🎨🖥️ The author heroically suggests #rasterization magic that might just revolutionize drawing circles, minus the antialiasing of course—because who needs smooth edges in 2023?" 🤔⬛
    gasiulis.name/vector-graphics- #VectorGraphics #TechNews #HackerNews #ngated

  4. 🚀💻 "Breaking News: #CPUs are apparently tired of rendering vector graphics, and it’s time for #GPUs to shine! 🎨🖥️ The author heroically suggests #rasterization magic that might just revolutionize drawing circles, minus the antialiasing of course—because who needs smooth edges in 2023?" 🤔⬛
    gasiulis.name/vector-graphics- #VectorGraphics #TechNews #HackerNews #ngated

  5. Making the switch from the #Developer version to the #Game-ready version of my #Nvidia driver, as I am starting to worry that the intense focus on #AI may be hampering it's usefulness for #rasterization and other aspects of the #graphics and #modeling workflows I use it to accelerate. I was using the developer version for things like #Blender, #GIMP, #Unity, and occasional experiments in analytical #AI, but if it's only good for the last one, and #GenerativeAI at that, I don't see the point.

    Will post if I have any thoughts on what the outcome is.

  6. I finally did some work on #FluidX3D again: I improved #rasterization performance with frustrum culling. Some of the rasterization kernels are especially heavy on VRAM bandwidth, like loading the velocity field to compute the Q-criterion isosurface on-the-fly. Frustrum culling is a guard clause that immediately exits the kernel for cells not in view of the camera, so unnecessary data is not loaded. 🖖🧐
    Full v2.10 update release notes: github.com/ProjectPhysX/FluidX