shen-shanshan / cs-self-learning
This repo is used for archiving my notes, codes and materials of cs learning.
☆18Updated last week
Alternatives and similar repositories for cs-self-learning
Users that are interested in cs-self-learning are comparing it to the libraries listed below
Sorting:
- A light llama-like llm inference framework based on the triton kernel.☆118Updated this week
- 使用 CUDA C++ 实现的 llama 模型推理框架☆56Updated 6 months ago
- Optimize softmax in triton in many cases☆20Updated 8 months ago
- CUDA 6大并行计算模式 代码与笔记☆61Updated 4 years ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆41Updated 9 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆76Updated last week
- ☆139Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆65Updated 9 months ago
- ☆127Updated 4 months ago
- ☆27Updated 11 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆36Updated 2 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆88Updated 4 months ago
- ☆21Updated this week
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆48Updated last year
- ☆94Updated 8 months ago
- Tutorials for writing high-performance GPU operators in AI frameworks.☆130Updated last year
- ☆11Updated 2 months ago
- ☆58Updated this week
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆36Updated last month
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆100Updated last year
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆18Updated 7 months ago
- ☆68Updated 3 weeks ago
- ☆33Updated last year
- ☆148Updated 4 months ago
- 📚FFPA(Split-D): Extend FlashAttention with Split-D for large headdim, O(1) GPU SRAM complexity, 1.8x~3x↑🎉 faster than SDPA EA.☆174Updated last week
- Examples of CUDA implementations by Cutlass CuTe☆177Updated 3 months ago
- ☆123Updated last year
- 分层解耦的深度学习推理引擎☆73Updated 3 months ago
- ☆12Updated 9 months ago
- ☆91Updated last month