Alternatives and similar repositories for flash-attention-minimal:

Users that are interested in flash-attention-minimal are comparing it to the libraries listed below

• mirage-project / mirage
  Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA
  ☆820Updated this week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆536Updated last week
• tile-ai / tilelang
  Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
  ☆1,089Updated this week
• HazyResearch / ThunderKittens
  Tile primitives for speedy kernels
  ☆2,325Updated this week
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆348Updated 4 months ago
• srush / Triton-Puzzles
  Puzzles for learning Triton
  ☆1,614Updated 5 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…
  ☆663Updated 2 months ago
• siboehm / SGEMM_CUDA
  Fast CUDA matrix multiplication from scratch
  ☆707Updated last year
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆601Updated last week
• SiriusNEO / Triton-Puzzles-Lite
  Puzzles for learning Triton, play it with minimal environment configuration!
  ☆302Updated 5 months ago
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆759Updated last month
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆256Updated last month
• Deep-Learning-Profiling-Tools / triton-viz
  ☆202Updated last week
• ByteDance-Seed / Triton-distributed
  Distributed Triton for Parallel Systems
  ☆644Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆220Updated 3 months ago
• pytorch / PiPPy
  Pipeline Parallelism for PyTorch
  ☆764Updated 8 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆812Updated 8 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆805Updated last week
• wangzyon / NVIDIA_SGEMM_PRACTICE
  Step-by-step optimization of CUDA SGEMM
  ☆315Updated 3 years ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆297Updated this week
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆288Updated last week
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆346Updated 7 months ago
• pytorch-labs / attention-gym
  Helpful tools and examples for working with flex-attention
  ☆757Updated this week
• gpu-mode / resource-stream
  GPU programming related news and material links
  ☆1,488Updated 4 months ago
• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆331Updated 3 months ago
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆596Updated 7 months ago
• flashinfer-ai / flashinfer
  FlashInfer: Kernel Library for LLM Serving
  ☆2,788Updated this week
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,243Updated 2 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆387Updated this week
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆383Updated 5 months ago