Alternatives and similar repositories for cuda-gemm

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

• OpenBitSys / BitDecoding
  [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.
  ☆77Updated last month
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆100Updated last year
• CalebDu / Awesome-Cute
  ☆112Updated 8 months ago
• xxyux / SpInfer
  SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
  ☆62Updated 10 months ago
• Chtholly-Boss / swizzle
  A practical way of learning Swizzle
  ☆36Updated 11 months ago
• zeroine / cutlass-cute-sample
  ☆49Updated last year
• HPMLL / NVIDIA-Hopper-Benchmark
  ☆85Updated 7 months ago
• KuangjuX / NVSHMEM-Tutorial
  NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer
  ☆154Updated 4 months ago
• infinigence / FlashOverlap
  A lightweight design for computation-communication overlap.
  ☆213Updated last week
• flashinfer-ai / cutlass-viz
  ☆65Updated 9 months ago
• gty111 / GEMM_MMA
  Optimize GEMM with tensorcore step by step
  ☆36Updated 2 years ago
• ColfaxResearch / cfx-article-src
  ☆171Updated 8 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 …
  ☆191Updated 11 months ago
• reed-lau / cute-gemm
  ☆159Updated 2 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
• ParCIS / Magicube
  Magicube is a high-performance library for quantized sparse matrix operations (SpMM and SDDMM) of deep learning on Tensor Cores.
  ☆91Updated 3 years ago
• apuaaChen / EVT_AE
  Artifacts of EVT ASPLOS'24
  ☆28Updated last year
• AlibabaPAI / FLASHNN
  ☆105Updated last year
• xinhao-luo / ClusterFusion
  [NeurIPS 2025] ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
  ☆66Updated last month
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆145Updated 8 months ago
• tile-ai / tilescale
  Tile-based language built for AI computation across all scales
  ☆117Updated last week
• dsl-learn / cutile-learn
  NVIDIA cuTile learn
  ☆150Updated last month
• toyaix / triton-runner
  Multi-Level Triton Runner supporting Python, IR, PTX, and cubin.
  ☆84Updated this week
• DeepLink-org / DLSlime
  DLSlime: Flexible & Efficient Heterogeneous Transfer Toolkit
  ☆91Updated 2 weeks ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆96Updated 4 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆269Updated 6 months ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆156Updated last year
• wu-kan / wuk_cupti_wrapper
  a simple API to use CUPTI
  ☆11Updated 5 months ago
• ZhangJingrong / gpu_topK_benchmark
  GPU TopK Benchmark
  ☆18Updated last year
• Bruce-Lee-LY / cuda_hgemv
  Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.
  ☆71Updated last year