Top 4 cuda-toolkit Open-Source Projects
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cuda-api-wrappers
Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
1. This implements the clunky C-ish API; there's also the Modern-C++ API wrappers, with automatic error checking, RAII resource control etc.; see: https://github.com/eyalroz/cuda-api-wrappers (due disclosure: I'm the author)
2. Implementing the _runtime_ API is not the right choice; it's important to implement the _driver_ API, otherwise you can't isolate contexts, dynamically add newly-compiled JIT kernels via modules etc.
3. This is less than 3000 lines of code. Wrapping all of the core CUDA APIs (driver, runtime, NVTX, JIT compilation of CUDA-C++ and of PTX) took me > 14,000 LoC.
Instead I'm trying to follow along with the structure of cudarc (https://github.com/coreylowman/cudarc) which has done bindings for other Nvidia libraries. Their methodology seems much more straight forward.
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Index
What are some of the best open-source cuda-toolkit projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | dfdx | 1,621 |
| 2 | cuda-api-wrappers | 737 |
| 3 | cudarc | 424 |
| 4 | CUDA-Guide | 47 |
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