Alternatives and similar repositories for ffpa-attn

Users that are interested in ffpa-attn are comparing it to the libraries listed below

• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆86Updated 2 months ago
• InternLM / turbomind
  ☆87Updated 3 months ago
• AlibabaPAI / FLASHNN
  ☆96Updated 10 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆87Updated 6 months ago
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆183Updated 5 months ago
• CalebDu / Awesome-Cute
  ☆84Updated 2 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆272Updated last year
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆146Updated 3 weeks ago
• flashinfer-ai / cutlass-viz
  ☆60Updated 2 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆72Updated 11 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆203Updated 2 weeks ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆110Updated 10 months ago
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆39Updated 4 months ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆380Updated 2 months ago
• madsys-dev / deepseekv2-profile
  ☆145Updated 4 months ago
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆133Updated 3 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆184Updated this week
• AyakaGEMM / Hands-on-GEMM
  ☆137Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆112Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆101Updated last month
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆92Updated last week
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆69Updated 2 months ago
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆38Updated last month
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆255Updated 8 months ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆95Updated 6 years ago
• pzhao-eng / FlashMLA
  ☆50Updated 2 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆365Updated 9 months ago
• OpenPPL / ppl.llm.kernel.cuda
  ☆149Updated 6 months ago
• ColfaxResearch / cutlass-kernels
  ☆216Updated last year
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆58Updated 8 months ago