This is your work, valued
Ultimate Super Badass. XDU | MSRA NRG | USTC. MLsys, Arch, Storage, blade learner and the CHAOTIC.
tiny-flash-attention. flash attention tutorial written in python, triton, cuda, cutlass
527dotfiles. My dotfiles
17CritiPrefill. Code repo for "CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs".
17learn-vgpu-the-hard-way. qemu, cuda, virtio and kernel driver etc, none of which I understand, I just in awe.
13single-gpu-passthrough. Shell
9ring-attention-pytorch. tiny ring attention implement for learning purpose
9LLMTest_NeedleInAHaystack-Local. run Needle In A Haystack with local LLM. check the makefile
8LongShortTokenDecoding. Long short token decoding speed up 4x for long context LLM. A hundred lines of core code. Open source for learning.
8bookmarks-nvim. Interactive mark and jump action in neovim.
8.config. my .config file
4Notes. my note things
3.vim. my vim config file
3pytorch-cuda-binding-tutorial. Tutorial for building a custom CUDA and C function for torch
3scripts. some scripts
3ringemacs. Emacs Lisp
2Counting-Stars-Local. Counting-Stars scripts for evaluating local llm.
266RING.github.io. https://66ring.github.io/
2ContinuousBatching. A demo about continuous batching, which is simple than you think.
2the-chaos. Rust
1llama-playground. play with llama
1qCUDA. qCUDA: GPGPU Virtualization at a New API Remoting Method with Para-virtualization
1nvim-lua-guide-zh. https://github.com/nanotee/nvim-lua-guide chinese version
1TH-CPL. 清华大学计算机学科推荐学术会议和期刊列表
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