Alternatives and similar repositories for Megakernels

Users that are interested in Megakernels are comparing it to the libraries listed below

• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆637Updated 2 weeks ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆385Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆242Updated this week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆299Updated 2 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆264Updated this week
• perplexityai / pplx-kernels
  Perplexity GPU Kernels
  ☆497Updated last month
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆263Updated last month
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆377Updated last month
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆632Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆233Updated 5 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆491Updated this week
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆703Updated 2 months ago
• NVIDIA / tilus
  Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
  ☆381Updated last week
• ColfaxResearch / cutlass-kernels
  ☆241Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆266Updated 3 months ago
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆770Updated 7 months ago
• yifuwang / symm-mem-recipes
  ☆141Updated 10 months ago
• NVIDIA / nvshmem
  NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process com…
  ☆351Updated last week
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆660Updated last week
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆119Updated 3 weeks ago
• cchan / tccl
  extensible collectives library in triton
  ☆90Updated 6 months ago
• sgl-project / SpecForge
  Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
  ☆439Updated this week
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆518Updated last month
• bertmaher / simplegemm
  ☆121Updated 7 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆253Updated last week
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆125Updated 4 months ago
• ByteDance-Seed / Triton-distributed
  Distributed Compiler based on Triton for Parallel Systems
  ☆1,186Updated last week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆215Updated this week
• triton-lang / kernels
  ☆93Updated 11 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆157Updated 6 months ago