Alternatives and similar repositories for CUDA-From-Correctness-To-Performance-Code:

Users that are interested in CUDA-From-Correctness-To-Performance-Code are comparing it to the libraries listed below

• XiaoSong9905 / HPC-Notes
  Personal Notes for Learning HPC & Parallel Computation [Active Adding New Content]
  ☆63Updated 2 years ago
• XiaoSong9905 / CUDA-Optimization-Guide
  Xiao's CUDA Optimization Guide [Active Adding New Contents]
  ☆277Updated 2 years ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆151Updated 2 months ago
• nicolaswilde / cuda-tensorcore-hgemm
  ☆136Updated 3 months ago
• InfiniTensor / InfiniTensor
  ☆234Updated 2 months ago
• Sunt-ing / stick
  A PyTorch-like deep learning framework. Just for fun.
  ☆151Updated last year
• ifromeast / cuda_learning
  learning how CUDA works
  ☆233Updated last month
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆132Updated 2 months ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆82Updated 3 months ago
• eedalong / ECE408
  Code base and slides for ECE408：Applied Parallel Programming On GPU.
  ☆122Updated 3 years ago
• reed-lau / cute-gemm
  ☆113Updated 4 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 …
  ☆180Updated 2 months ago
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆74Updated 3 months ago
• 66RING / tiny-flash-attention
  flash attention tutorial written in python, triton, cuda, cutlass
  ☆322Updated 3 months ago
• InfiniTensor / RefactorGraph
  分层解耦的深度学习推理引擎
  ☆72Updated last month
• MLSys-Learner-Resources / Awesome-MLSys-Blogger
  The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)
  ☆217Updated 3 months ago
• AyakaGEMM / Hands-on-GEMM
  ☆117Updated last year
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆129Updated last year
• l1nkr / DL-Compiler-Navigation
  Machine Learning Compiler Road Map
  ☆43Updated last year
• njuhope / cuda_sgemm
  ☆109Updated last year
• XiaoSong9905 / dgemm-knl
  DGEMM on KNL, achieve 75% MKL
  ☆16Updated 2 years ago
• chenhongyu2048 / LLM-inference-optimization-paper
  Summary of some awesome work for optimizing LLM inference
  ☆67Updated this week
• MARD1NO / CUDA-PPT
  ☆88Updated last week
• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆57Updated 2 years ago
• xgqdut2016 / hpc_project
  some hpc project for learning
  ☆20Updated 7 months ago
• KnowingNothing / MatmulTutorial
  A Easy-to-understand TensorOp Matmul Tutorial
  ☆340Updated 6 months ago
• guanrenyang / Programming-Massively-Parallel-Processors
  Solution of Programming Massively Parallel Processors
  ☆43Updated last year
• CalebDu / Awesome-Cute
  ☆52Updated 2 months ago
• AdvancedCompiler / AdvancedCompiler
  先进编译实验室的个人主页
  ☆64Updated 2 months ago
• LLMServe / SwiftTransformer
  High performance Transformer implementation in C++.
  ☆115Updated 2 months ago