
SHER-Graphics
Native graphics foundation for the SHER Kernel
What it does
Native graphics architecture for SHER Kernel: Vulkan and OpenGL run through Mesa as compatibility layers while a from-scratch runtime, GPU abstraction, and capability-secured command model live underneath. - Mullassery/SHER-Graphics
Does the same job
all alternatives →- AMA Minimal Code Example of Using Vulkan for Computations on the GPU2017 · github.com · ▲68
- HTHCC the C –> SPIR-V Compiler for Vulkan2023 · github.com · ▲7
After 1 year & 3 months of work, HCC the C -> SPIR-V compiler for Vulkan has its first release!!! - vertex, pixel & compute shaders - share structs, functions & enums across the CPU & GPU - fully bindless resources - multiple shaders in a single file - vulkan 1.3 + - windows & linux support - aims for C11 support - textures, atomics, quad & wave intrinsics - scalars, vectors, matrices maths library - samples app with 5 shader samples - playground app (shadertoy clone)



- SCShadergarden: Create reloadable graphical pipelines with Lisp and GLSL2021 · blog.tonari.no · ▲47
More dev tools this month
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Open-source GTM skills for technical founders
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OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com