Kedreamix / pytorch-cppcuda-tutorialLinks
tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)
☆28Updated last year
Alternatives and similar repositories for pytorch-cppcuda-tutorial
Users that are interested in pytorch-cppcuda-tutorial are comparing it to the libraries listed below
Sorting:
- ☆174Updated 2 years ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆220Updated 2 months ago
- Implement Flash Attention using Cute.☆96Updated 10 months ago
- Tutorials for writing high-performance GPU operators in AI frameworks.☆132Updated 2 years ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆120Updated 5 months ago
- ☆119Updated 2 months ago
- Code release for book "Efficient Training in PyTorch"☆104Updated 6 months ago
- ☆141Updated last year
- Implement custom operators in PyTorch with cuda/c++☆71Updated 2 years ago
- A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention☆189Updated last month
- flash attention tutorial written in python, triton, cuda, cutlass☆428Updated 5 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆45Updated 4 months ago
- CPU Memory Compiler and Parallel programing☆26Updated 11 months ago
- A tutorial for CUDA&PyTorch☆155Updated 8 months ago
- Quantized Attention on GPU☆44Updated 10 months ago
- Codes & examples for "CUDA - From Correctness to Performance"☆114Updated 11 months ago
- A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.☆34Updated last year
- ☆43Updated last year
- Triton Documentation in Chinese Simplified / Triton 中文文档☆86Updated 6 months ago
- Examples of CUDA implementations by Cutlass CuTe☆241Updated 3 months ago
- A sparse attention kernel supporting mix sparse patterns☆315Updated 8 months ago
- 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 3 years ago
- learning how CUDA works☆325Updated 7 months ago
- analyse problems of AI with Math and Code☆26Updated 2 months ago
- ☆107Updated 5 months ago
- Code base and slides for ECE408:Applied Parallel Programming On GPU.☆135Updated 4 years ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆108Updated 3 months ago
- ☆147Updated 3 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆186Updated 8 months ago
- Gensis is a lightweight deep learning framework written from scratch in Python, with Triton as its backend for high-performance computing…☆36Updated 3 weeks ago