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bassrehab/triton-kernels

High-performance GPU kernels for LLM inference in OpenAI Triton. Fused RMSNorm, SwiGLU, INT8 GEMM with benchmarks and roofline analysis.

Visit GitHub
Python
44
7
1 contributors
MIT License
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Momentum

How fast bassrehab/triton-kernels is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 10 – Nov 5, 2026

Stars +3 in 57 days

012
2

Forks +0 in 57 days

01

Merged PRs 0 in 57 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 10Sep 18Sep 26Oct 4Oct 12Oct 20Oct 28Nov 5
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Sep 10, 2026+1+00
Fri, Sep 11, 2026+0+00
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Total+3+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 271 post

    • I wrote a fused Mixture-of-Experts dispatch kernel in pure Triton. No CUDA. Still hits 89-131% of Megablocks (Stanford's CUDA-optimized MoE lib) and runs on AMD with zero changes. How 🧵

      Read full on X, posted by @bassrehab

      @bassrehab · x.com

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