[DEPRECATED] Moved to ROCm/rocm-systems repo
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May 4, 2026 - Python
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gpu-kernels
Here are 36 public repositories matching this topic...
Online CUDA Occupancy Calculator
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Oct 12, 2021 - CoffeeScript
Agents, and RL environment, for optimizing GPU kernels on AMD ROCm using LLM agents. Benchmarks LLM serving workloads end-to-end, profiles bottleneck kernels, optimizes them via Claude Code or Codex, and scores on compilation, correctness, and speedup.
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May 11, 2026 - Python
(Spring 2017) Assignment 2: GPU Executor
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Apr 27, 2017 - Python
Runs a single CUDA/OpenCL kernel, taking its source from a file and arguments from the command-line
gpu opencl cuda runner gpgpu multi-language performance-analysis profiling performance-testing debugging-tool gpu-kernels gpu-kernel-performance
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May 12, 2026 - C++
GPU Drano Static Analysis for GPU programs.
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Nov 16, 2018 - C++
The official implementation for paper "AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation"
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Apr 28, 2026 - Python
Repo containing artifacts for Neurips 2025 tutorial- How to Build Agents to Generate Kernels for Faster LLMs (and Other Models!)
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May 11, 2026 - Jupyter Notebook
AgentKernelArena provides an end-to-end siloed-benchmarking environment where different LLM-powered agents—such as Cursor Agent, Claude Code, Codex, SWE-agent, and GEAK—can be evaluated side-by-side on the same GPU kernel tasks, using objective and reproducible metrics.
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May 12, 2026 - Python
Prototype for a SPIR-V assembler and dissasembler. It provides a composable Java interface for generating SPIR-V code at runtime.
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Oct 31, 2025 - Java
Open source skill library for AI coding agents to write, optimize, and debug high performance compute kernels across CUDA, Triton, and quantized workloads.
cuda high-performance-computing triton quantization rocm gpu-kernels prompt-engineering llm-agents ai-coding kernel-optimization
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May 7, 2026 - TypeScript
From-scratch reimplementation of DeepSeek's Native Sparse Attention (arXiv:2502.11089) in Triton + CUDA Hopper WGMMA. 7.4x faster than FlashAttention-3 at 64k context. Five-model training fleet, perplexity sweep, LongBench v2, MoBA comparison.
cuda pytorch transformer triton hopper attention-mechanism nsa gpu-kernels sparse-attention llm long-context flash-attention deepseek native-sparse-attention wgmma
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May 12, 2026 - Python
Fused Triton kernels for Transformer inference: RMSNorm+RoPE, Gated MLP, FP8 GEMM — CPU-testable references, autotuning, and benchmarking
python acceleration deep-learning high-performance cuda inference pytorch nvidia triton gpu-computing quantization gpu-kernels kernel-fusion llm fp8 rotary-position-embedding rmsnorm llm-inference operator-fusion transformer-inference
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May 8, 2026 - Python
Real-time NVIDIA GPU command capture, decoding, and visualization
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Apr 14, 2026 - C
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Dec 15, 2022 - C
A self-hosted low-level functional-style programming language 🌀
algebraic-effects functional-programming self-hosted algebraic-data-types compilers python-compiler gpu-kernels borrow-checker mutable-value-semantics
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May 12, 2026 - Python
High-performance GPU-accelerated C# scripting for Rhino Grasshopper, powered by ILGPU
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Mar 31, 2025 - C#
Noeris — autonomous kernel fusion discovery + Triton autotuning for LLM kernels and Gemma layer deeper fusion (A100/H100 wins).
benchmarking cuda pytorch triton autotuning gemma gpu-kernels github-actions kernel-fusion llm-training llm-inference kernel-optimization
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May 7, 2026 - Python
22 progressive Triton GPU kernels, from elementwise ops to Flash Attention v2, featuring correctness tests and PyTorch throughput/TFLOPS benchmarks.
deep-learning cuda pytorch matrix-multiplication high-performance-computing triton performance-benchmarking gpu-kernels flash-attention
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Mar 25, 2026 - Jupyter Notebook
CUDA fast paths for MoE dispatch and weighted combine with TensorRT-LLM-oriented trace replay benchmarks
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Apr 26, 2026 - Python
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