Alternatives and similar repositories for cutlass:

Users that are interested in cutlass are comparing it to the libraries listed below

• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆69Updated last year
• njuhope / cuda_sgemm
  ☆109Updated 11 months ago
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year
• BBuf / how-to-optimize-gemm
  ☆95Updated 3 years ago
• MARD1NO / CUDA-PPT
  ☆82Updated last year
• megvii-research / megvii-tsinghua-dl-course
  Slides with modifications for a course at Tsinghua University.
  ☆58Updated 2 years ago
• ModelTC / Dipoorlet
  Offline Quantization Tools for Deploy.
  ☆124Updated last year
• aojunzz / NM-sparsity
  ☆224Updated 2 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆89Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆141Updated 2 years ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆132Updated 2 months ago
• TRT2022 / MST-plus-plus-TensorRT
  TensorRT 2022复赛方案： 首个基于Transformer的图像重建模型MST++的TensorRT模型推断优化
  ☆138Updated 2 years ago
• xuqiantong / CUDA-Winograd
  Fast CUDA Kernels for ResNet Inference.
  ☆172Updated 5 years ago
• NVIDIA / online-softmax
  Benchmark code for the "Online normalizer calculation for softmax" paper
  ☆85Updated 6 years ago
• tigert1998 / qat
  Manually implemented quantization-aware training
  ☆21Updated 2 years ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆143Updated last month
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆33Updated 3 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆197Updated 2 years ago
• OpenPPL / CuAssembler
  An unofficial cuda assembler, for all generations of SASS, hopefully ：）
  ☆82Updated last year
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆24Updated 3 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• bytedance / MRECG
  ☆34Updated last year
• AyakaGEMM / Hands-on-GEMM
  ☆112Updated 11 months ago
• OpenPPL / ppl.kernel.cuda
  ☆35Updated 5 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆89Updated 2 weeks ago
• nicolaswilde / cuda-sgemm
  ☆60Updated 2 months ago
• pigirons / conv3x3_m1
  This is a demo how to write a high performance convolution run on apple silicon
  ☆54Updated 3 years ago
• Karbo123 / pytorch_grouped_gemm
  High Performance Grouped GEMM in PyTorch
  ☆28Updated 2 years ago
• ModelTC / NART
  NART = NART is not A RunTime, a deep learning inference framework.
  ☆38Updated 2 years ago
• carlushuang / cpu_gemm_opt
  how to design cpu gemm on x86 with avx256, that can beat openblas.
  ☆68Updated 5 years ago