GPU accelerated text shimmer

Thousands of Styled Rectangles in 120FPS on GPU

Secrets of rendering extremely fast UIs in WebGPU by minimizing overhead on the GPU.

Text rendering and effects using GPU-computed distances

Text rendering is cursed. Anyone who has worked on text will tell you the same; whether it's about layout, bi-directional, shaping, Unicode, or the rendering itself, it's never a completely solved problem. In my personal case, I've been working on trying to render text in the context of a compositing engine for creative content. I needed crazy text effects, and I needed them to be reasonably fast, which implied working with the GPU as much as possible. The distance field was an obvious requirement because it unlocks anti-aliasing and the ability to make many great effects for basically free.

TypeGPU – Type-safe WebGPU toolkit

Discover how it can change the way you work with GPU rendering and computing.

GPU Support [Open Beta] - Polars user guide

Polars provides an in-memory, GPU-accelerated execution engine for Python users of the Lazy API on NVIDIA GPUs using RAPIDS cuDF. This functionality is available in Open Beta and is undergoing rapid development.

HipScript: Run HIP and CUDA code with WebGPU

Online compiler for HIP and NVIDIA® CUDA® code to WebGPU

Taelin on Twitter / X

RELEASE DAYAfter almost 10 years of hard work, tireless research, and a dive deep into the kernels of computer science, I finally realized a dream: running a high-level language on GPUs. And I'm giving it to the world!Bend compiles modern programming features, including:-… pic.twitter.com/Q2tcH8Q6nq— Taelin (@VictorTaelin) May 16, 2024

Leveraging Rust and the GPU to render user interfaces at 120 FPS

From the Zed Blog: A deep-dive into the graphical underpinnings of GPUI, the hardware-accelerated framework that powers Zed's user interface.

Fullscreen rendering - Claude Code Docs

Enable a smoother, flicker-free rendering mode with mouse support and stable memory usage in long conversations.

Rust SIMD on the GPU

GPU code can now use Rust's portable SIMD. We share the implementation approach and what this unlocks for GPU programming.

Modern GPU Programming For MLSys — Modern GPU Programming For MLSys

Machine learning systems sit at the heart of modern AI workloads. In these systems, performance often comes down to the quality of a small number of GPU kernels. Attention kernels, LLM prefill and decode kernels, low-precision block-scaled GEMMs, fused MoE layers, and other large fused kernels all directly shape end-to-end speed in both training and serving.

Modern GPU Programming For MLSys — Modern GPU Programming For MLSys

Machine learning systems sit at the heart of modern AI workloads. In these systems, performance often comes down to the quality of a small number of GPU kernels. Attention kernels, LLM prefill and decode kernels, low-precision block-scaled GEMMs, fused MoE layers, and other large fused kernels all directly shape end-to-end speed in both training and serving.

RightNow AI - YC-Backed GPU Research Lab

YC-backed GPU research lab building the RightNow CUDA editor, RunInfra inference infra, Forge kernels, and publishing AutoMegaKernel and related papers on arXiv.

Hash Functions for GPU Rendering – Nathan Reed’s coding blog

Pixels and polygons and shaders, oh my!

Fast Embeddings on GPUs

Fast and accurate search is vital to all of Perplexity, from Search and Computer to our API Platform. Behind the scenes, the heavy lifting is done by embedding