Alternatives and similar repositories for awesome-cuda

Users that are interested in awesome-cuda are comparing it to the libraries listed below

• Bruce-Lee-LY / cutlass_gemm
  Multiple GEMM operators are constructed with cutlass to support LLM inference.
  ☆20Updated 4 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.
  ☆46Updated 6 months ago
• simveit / persistent_dense_gemm
  Persistent dense gemm for Hopper in `CuTeDSL`
  ☆15Updated 4 months ago
• caijixueIT / CUDA_Learning_for_Freshman
  ☆14Updated last month
• li199603 / sgemm_with_cuda
  SGEMM optimization with cuda step by step
  ☆21Updated last year
• luliyucoordinate / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆10Updated last year
• IST-DASLab / gemm-fp8
  High Performance FP8 GEMM Kernels for SM89 and later GPUs.
  ☆20Updated 11 months ago
• FeiGeChuanShu / trt2023
  NVIDIA TensorRT Hackathon 2023复赛选题：通义千问Qwen-7B用TensorRT-LLM模型搭建及优化
  ☆43Updated 2 years ago
• tlc-pack / libflash_attn
  Standalone Flash Attention v2 kernel without libtorch dependency
  ☆112Updated last year
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆63Updated last year
• latentCall145 / channels-last-groupnorm
  A CUDA kernel for NHWC GroupNorm for PyTorch
  ☆22Updated last year
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆138Updated 7 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆78Updated last year
• BBuf / tensorrt-llm-moe
  ☆33Updated 10 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆98Updated last year
• triple-Mu / HunyuanDiT-TensorRT-libtorch
  HunyuanDiT with TensorRT and libtorch
  ☆18Updated last year
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆242Updated last month
• pzhao-eng / FlashMLA
  ☆59Updated 5 months ago
• hova88 / CUDA-MatMul-Practice
  ☆17Updated last year
• OpenPPL / ppl.kernel.cuda
  ☆38Updated last year
• weishengying / tiny-flash-attention
  使用 cutlass 实现 flash-attention 精简版，具有教学意义
  ☆52Updated last year
• Syencil / Programming_Massively_Parallel_Processors
  CUDA 6大并行计算模式 代码与笔记
  ☆61Updated 5 years ago
• yester31 / Cutlass_EX
  study of cutlass
  ☆22Updated last year
• LeiWang1999 / TVM.CMakeExtend
  Tutorials of Extending and importing TVM with CMAKE Include dependency.
  ☆16Updated last year
• feifeibear / ChituAttention
  Quantized Attention on GPU
  ☆44Updated last year
• wangzyon / trt_learn
  TensorRT encapsulation, learn, rewrite, practice.
  ☆29Updated 3 years ago
• ByteDance-Seed / cudaLLM
  ☆125Updated 4 months ago
• sgl-project / DeepGEMM
  DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
  ☆21Updated last week
• Qingrenn / mmdeploy-summer-camp
  🐱 ncnn int8 模型量化评估
  ☆14Updated 3 years ago
• jundaf2 / CUDA-INT8-GEMM
  CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
  ☆35Updated 2 years ago