hyperai / triton-cn
Triton Documentation in Chinese Simplified / Triton 中文文档
☆53Updated last month
Alternatives and similar repositories for triton-cn:
Users that are interested in triton-cn are comparing it to the libraries listed below
- ☆97Updated 6 months ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆44Updated 3 months ago
- ☆65Updated 2 months ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆93Updated 11 months ago
- Decoding Attention is specially optimized for multi head attention (MHA) using CUDA core for the decoding stage of LLM inference.☆29Updated 3 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆77Updated last month
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆51Updated 6 months ago
- Implement Flash Attention using Cute.☆69Updated last month
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆51Updated last week
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆175Updated 2 weeks ago
- 📚FFPA: Yet antother Faster Flash Prefill Attention with O(1)⚡️SRAM complexity for headdim > 256, 1.8x~3x↑🎉faster than SDPA EA.☆96Updated this week
- ☆81Updated 5 months ago
- ☆76Updated last year
- ☆140Updated 9 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆53Updated 6 months ago
- ☆42Updated this week
- Examples of CUDA implementations by Cutlass CuTe☆137Updated last week
- ☆33Updated 3 weeks ago
- flash attention tutorial written in python, triton, cuda, cutlass☆258Updated last month
- ☆108Updated 10 months ago
- PyTorch distributed training acceleration framework☆39Updated this week
- Tutorials for writing high-performance GPU operators in AI frameworks.☆128Updated last year
- A light llama-like llm inference framework based on the triton kernel.☆83Updated this week
- Summary of some awesome work for optimizing LLM inference☆56Updated last week
- A collection of memory efficient attention operators implemented in the Triton language.☆237Updated 8 months ago
- ☆127Updated last month
- A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.☆31Updated 10 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆34Updated 5 months ago
- ☆38Updated 8 months ago
- 分层解耦的深度学习推理引擎☆70Updated 2 months ago