@seclink: A bit interesting, learn a bit...
Summary
Version 1.0 of auto-gpu-kernel has been released, a meta-harness tool that autonomously generates high-performance GPU kernels.
View Cached Full Text
Cached at: 09/16/26, 05:54 AM
A bit interesting, learn a bit…
Doğaç (@dogacel0): 4 months after its initial release, “auto-gpu-kernel” version 1.0 is finally out!
It is a fully autonomous kernel generation “meta-harness” that evolves both the kernel and the harness layer, generating speed-of-light kernels 🧵
Similar Articles
@dogacel0: 4 months after its initial release, "auto-gpu-kernel" version 1.0 is finally out! It is a fully autonomous kernel gener…
Auto-GPU-Kernel version 1.0 is released, an autonomous GPU kernel generation and optimization tool that ranked first in the MLSys 2026 FlashInfer AI Kernel Generation Contest with a 34.93x average speedup.
@levidiamode: 163/365 of GPU Programming Looking at a few different agentic GPU kernel optimization systems today. The two I'm most i…
A tweet discussing two agentic GPU kernel optimization systems: Auto GPU Kernel by @dogacel0 and Kernel Design Agents from @songhan_mit's lab, both winners at the MLSys Sparse Attention FlashInfer competition. The thread highlights different approaches using subagents and Claude skills for GPU programming.
Auto-research with codex: How I achieved a 232x Faster Kernel
A blog post detailing how the author used Codex to optimize a kernel in a GPU Mode contest, achieving a 232x speedup in QR decomposition and sharing learnings on auto-research.
KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation
KernelZero introduces a co-evolution framework with Proposer and Coder models to enhance GPU kernel generation, achieving superior performance on CUDA and Triton benchmarks.
[P] Built a portable GPU ISA after reading too many architecture manuals [P]
A portable GPU ISA called WAVE that compiles kernels to a common binary and translates to vendor-specific backends (Metal, PTX, HIP, SYCL), with verified results across multiple GPUs.