Alternatives and similar repositories for Awesome-Cute:

Users that are interested in Awesome-Cute are comparing it to the libraries listed below

• xlite-dev / hgemm-mma
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆63Updated last week
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆60Updated 7 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆74Updated 3 months ago
• AlibabaPAI / FLASHNN
  ☆91Updated 6 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.
  ☆35Updated 3 weeks ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆108Updated 6 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆90Updated last month
• zeroine / cutlass-cute-sample
  ☆29Updated 11 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆148Updated 2 months ago
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆59Updated 6 months ago
• reed-lau / cute-gemm
  ☆112Updated 3 months ago
• DD-DuDa / BitDecoding
  A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆25Updated last week
• TiledTensor / TiledCUDA
  We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …
  ☆180Updated 2 months ago
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆45Updated 4 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.
  ☆35Updated last month
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆32Updated last week
• LeiWang1999 / TVM.CMakeExtend
  Tutorials of Extending and importing TVM with CMAKE Include dependency.
  ☆13Updated 5 months ago
• Bruce-Lee-LY / cutlass_gemm
  Multiple GEMM operators are constructed with cutlass to support LLM inference.
  ☆17Updated 6 months ago
• ademeure / DeeperGEMM
  DeeperGEMM: crazy optimized version
  ☆63Updated 2 weeks ago
• ColfaxResearch / cfx-article-src
  ☆90Updated 3 weeks ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆53Updated 2 months ago
• MARD1NO / CUDA-PPT
  ☆86Updated last year
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆87Updated 6 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆89Updated last year
• iclementine / optimize_softmax
  Optimize softmax in triton in many cases
  ☆20Updated 6 months ago
• AyakaGEMM / Hands-on-GEMM
  ☆115Updated last year
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆24Updated last year
• pzhao-eng / FlashMLA
  ☆40Updated last week
• INT-FlashAttention2024 / INT-FlashAttention
  ☆67Updated 2 months ago
• InternLM / turbomind
  ☆76Updated last week