deepseek-ai/DeepJIT

A lightweight library for xPU kernel JIT compilation

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DeepJIT is a lightweight, header-only C++20 JIT runtime for NVIDIA CUDA GPUs and HUAWEI Ascend (昇腾) NPUs. It gives C++/Python extension authors a shared interface for compiling kernel source at runtime, caching the resulting binaries, loading them onto the device, and launching them with backend-specific options. DeepJIT handles the JIT infrastructure so that kernel libraries can focus on their device code. Both backends share runtime configuration, source and include hashing, in-memory and on-disk caches, and lazy initialization. Kernel source and compiler/launch options remain specific to the selected backend. Main authors: @guyan364, @kurisu6912, @LyricZhao. The host environment must provide Linux, a C++20 compiler and standard library with std::format support, and the dependencies for the selected backend. The default GIL support also requires Python and pybind11; consumers that manage the GIL themselves can disable it as described under Integration. DeepJIT is intended to be embedded into your extension as a header-only dependency.…

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Read the full README ↗ · Preview checked 2026-10-31T05:52:11.569Z

Inside the original README — Document outline
  1. DeepJIT
  2. Features
  3. In development (WIP)
  4. Supported backends
  5. Shared cache
  6. Repository layout
  7. Integration
  8. Config
  9. Registering getjit()
  10. CUDA
  11. Compile and launch
  12. Post hook

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What this repository does

A lightweight library for xPU kernel JIT compilation

Repository facts

Owner
deepseek-ai
Primary language
C++
Stars
313
Forks
26
Open issues + pull requests
12
License
Not reported — inspect the license file
Archived
No
Default branch
main
Created
2026-09-08T03:57:22.000Z
Last push
2026-09-14T08:13:10.000Z

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