Alternatives and similar repositories for pytorch-cppcuda-tutorial

Users that are interested in pytorch-cppcuda-tutorial are comparing it to the libraries listed below

• YuxueYang1204 / CudaDemo
  Implement custom operators in PyTorch with cuda/c++
  ☆75Updated 2 years ago
• mit-han-lab / parallel-computing-tutorial
  ☆176Updated 2 years ago
• attention-survey / Efficient_Attention_Survey
  A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention
  ☆245Updated last week
• xlite-dev / ffpa-attn
  🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.
  ☆235Updated 3 weeks ago
• AyakaGEMM / Hands-on-GEMM
  ☆144Updated last year
• luliyucoordinate / cute-flash-attention
  Implement Flash Attention using Cute.
  ☆97Updated 11 months ago
• ByteDance-Seed / cudaLLM
  ☆124Updated 3 months ago
• mrzhuzhe / riven
  CPU Memory Compiler and Parallel programing
  ☆26Updated last year
• CalvinXKY / BasicCUDA
  A tutorial for CUDA&PyTorch
  ☆171Updated 10 months ago
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆133Updated 2 years ago
• xlite-dev / HGEMM
  ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.
  ☆135Updated 7 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.
  ☆45Updated 6 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆258Updated 5 months ago
• LDLINGLINGLING / nano_vllm_note
  注释的nano_vllm仓库，并且完成了MiniCPM4的适配以及注册新模型的功能
  ☆114Updated 4 months ago
• hyperai / triton-cn
  Triton Documentation in Chinese Simplified / Triton 中文文档
  ☆95Updated 2 weeks ago
• XiaoSong9905 / HPC-Notes
  Personal Notes for Learning HPC & Parallel Computation [Active Adding New Content]
  ☆75Updated 3 years ago
• li199603 / sgemm_with_cuda
  SGEMM optimization with cuda step by step
  ☆21Updated last year
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆62Updated last year
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆113Updated 5 months ago
• dsl-learn / cutile-learn
  NVIDIA cuTile learn
  ☆69Updated this week
• NoakLiu / FastCache-xDiT
  FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]
  ☆45Updated 3 months ago
• adreamwu / PTQ4DiT
  PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005
  ☆41Updated last year
• ChambinLee / CUDA_with_PyTorch
  这个项目介绍了简单的CUDA入门，涉及到CUDA执行模型、线程层次、CUDA内存模型、核函数的编写方式以及PyTorch使用CUDA扩展的两种方式。通过该项目可以基本入门基于PyTorch的CUDA扩展的开发方式。
  ☆94Updated 4 years ago
• interestingLSY / CUDA-From-Correctness-To-Performance-Code
  Codes & examples for "CUDA - From Correctness to Performance"
  ☆117Updated last year
• RiseAI-Sys / DAX
  High performance inference engine for diffusion models
  ☆100Updated 3 months ago
• harleyszhang / lite_llama
  A light llama-like llm inference framework based on the triton kernel.
  ☆166Updated 2 months ago
• mit-han-lab / Block-Sparse-Attention
  A sparse attention kernel supporting mix sparse patterns
  ☆396Updated 9 months ago
• mdy666 / mdy_triton
  ☆150Updated 5 months ago
• mit-han-lab / tinychat-tutorial
  ☆76Updated last year
• eedalong / ECE408
  Code base and slides for ECE408：Applied Parallel Programming On GPU.
  ☆141Updated 4 years ago