Alternatives and similar repositories for tilelang:

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

• mirage-project / mirage
  Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
  ☆778Updated this week
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆267Updated 3 months ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆566Updated last month
• FlagOpen / FlagGems
  FlagGems is an operator library for large language models implemented in Triton Language.
  ☆463Updated this week
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆308Updated 2 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆326Updated this week
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆332Updated 6 months ago
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆666Updated last year
• 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…
  ☆617Updated 3 weeks ago
• flashinfer-ai / flashinfer
  FlashInfer: Kernel Library for LLM Serving
  ☆2,483Updated this week
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆747Updated 3 months ago
• Bruce-Lee-LY / cuda_hgemm
  Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…
  ☆374Updated 6 months ago
• thuml / depyf
  depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
  ☆614Updated 3 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆782Updated 6 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆375Updated 3 weeks ago
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆355Updated last week
• volcengine / veScale
  A PyTorch Native LLM Training Framework
  ☆763Updated 3 months ago
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆294Updated 3 years ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆253Updated 9 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆202Updated 3 weeks ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆250Updated last week
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆717Updated last month
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆524Updated last month
• bytedance / flux
  A fast communication-overlapping library for tensor/expert parallelism on GPUs.
  ☆811Updated last week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆212Updated 2 months ago
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆2,184Updated this week
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆242Updated 5 months ago
• feifeibear / long-context-attention
  USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
  ☆458Updated last week
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆423Updated 6 months ago
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆585Updated 6 months ago