Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
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Mar 19, 2026 - Python
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kernel-optimization
Here are 55 public repositories matching this topic...
A lightweight, general-purpose framework for evaluating GPU kernel and benchmark.
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Aug 8, 2026 - Python
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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Jun 21, 2026 - TypeScript
Custom Linux kernels purpose-built for Apple Mac hardware
performance linux-kernel arch-linux kvm qemu pvg amdgpu macpro kernel-optimization mac-hardware macos-virtualization
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Jul 22, 2026 - Shell
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
Fastest MoE/LLM inference runtime for consumer and edge Blackwell GPUs. SN74 on Gittensor.
gpu cuda moe gemma inference-engine gpu-programming mixture-of-experts edge-ai on-device-ai blackwell llm bittensor qwen agentic-ai rtx-5090 kernel-optimization gittensor
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Aug 14, 2026 - C++
Agent-queryable ROCm kernel optimization knowledge base for AMD Instinct MI300/gfx942 and MI350/MI355X/gfx950, packaged for Codex CLI and Claude Code with merged-PR provenance, real-silicon validation, and a maintainer-controlled pull-request evidence pipeline.
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Jul 27, 2026 - Python
Evidence-driven CUDA, CUTLASS, Triton and GPU workload optimization for ChatGPT · 使用 ChatGPT 驱动 GPU workload 性能优化
performance skills gpu cuda pytorch triton profiling cutlass codex chatgpt vllm llm-inference nsight-compute agent-skills kernel-optimization trtllm
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Aug 13, 2026 - Python
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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Jul 18, 2026 - Python
Custom AWS Transform agent that migrates PyTorch/Triton kernels to AWS Trainium NKI (@nki.jit) and compiles, numerically verifies, and profiles every candidate on a real Trainium device before opening a PR.
mcp pytorch triton neuron nki code-migration aws-transform llm-agent kernel-optimization aws-trainium amazon-bedrock-agentcore gpu-to-trainium
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Aug 5, 2026 - Python
Extended TileLang as a unified DSL to enable high-performance kernel development for Near-Memory Computing, Distributed Memory AI Accelerators, and Networked Accelerators.
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Aug 13, 2026 - Python
METAL-SCI: a scientific compute benchmark for evolutionary LLM kernel search on Apple Silicon Metal
benchmark metal scientific-computing code-generation harness gpu-kernels apple-silicon evolutionary-search coding-agents kernel-optimization llm-harness
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Jun 27, 2026 - Metal
Compiler MVP that detects Transformer fusion patterns, generates optimized CUDA kernels with WMMA Tensor Cores, and executes them on real GPU hardware — 10.5 TFLOPs on RTX 2070, correctness validated against PyTorch.
performance-engineering deep-learning compiler jinja2 gpu cuda transformer fusion systems code-generation turing gemm auto-tuning tensor-cores llm machine-learning-infrastructure kernel-optimization wmma rtx-2070 sm75
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Jul 26, 2026 - Python
RWKV-7 FP8 quantized inference - 6.4x decode speedup on Blackwell GPUs with <0.3% accuracy loss. Full FP8 E4M3 weight quantization with fused Triton kernels.
nvidia triton quantization model-quantization blackwell inference-acceleration weight-quantization low-bit-quantization llm fp8 rwkv rwkv7 kernel-optimization rtx-5070-ti e4m3
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Aug 6, 2026 - Cuda
Automatic Triton kernel generation and optimization for Intel GPU, powered by Claude Code.
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May 12, 2026 - Python
Measurement harness for the sliding window attention premium in the vLLM TPU Ragged Paged Attention v3 kernel: per layer decode cost, block size control, throughput, and goodput for Gemma 4 31B on TPU v6e.
google-cloud attention-mechanism gemma pallas gpu-kernels tpu jax inference-optimization tpu-benchmarks tpus tpu-acceleration trillium kernel-optimizers vllm llm-inference paged-attention sliding-window-attention vllm-serve kernel-optimization goodput
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Jul 29, 2026 - Python
Reward-hardened evaluation for LLM-generated GPU kernels, built on KernelBench.
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Jul 23, 2026 - Python
从 SGEMM 到推理组件的系统性 CUDA 学习主仓，整合四条历史实验路径
education tutorial cplusplus hpc cuda gemm inference-engine gpu-programming sgemm cuda-programming tensor-core kernel-optimization
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Aug 6, 2026 - C++
Hand-tuned NVIDIA SASS kernels for RTX 3070 Ti (GA104, sm_86): 41,721 dense-equiv 2:4 sparse HGEMM, 11,453 GFLOPS Flash Attention, no cuBLAS / cuDNN / PyTorch. Includes cuasmR, a CRAN-ready R package for cubin read/write + GPU benchmark measurement. 6-chapter tutorial + Chladni-pattern memory layout study.
sass performance-engineering cuda nvidia rstats gpu-computing r-package ampere gemm cymatics gpu-programming tensor-cores int8-quantization sparse-gemm hgemm flash-attention kernel-optimization sm-86 rtx-3070-ti cuassembler
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Aug 13, 2026 - Cuda
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