35 lines
1.1 KiB
ReStructuredText
35 lines
1.1 KiB
ReStructuredText
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CCCL Python Libraries
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======================
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Overview
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--------
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The CUDA Core Compute Libraries (CCCL) for Python are a collection of modules
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with the shared goal of providing **high-quality, high-performance, and easy-to-use**
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abstractions for CUDA Python developers.
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* :doc:`cuda.compute <compute/index>` — Composable device-level primitives for building
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custom parallel algorithms, without writing CUDA kernels directly.
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These libraries expose the generic, highly-optimized algorithms from the
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`CCCL C++ libraries <https://nvidia.github.io/cccl/cpp.html>`_,
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which have been tuned to provide optimal performance across GPU architectures.
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Who is this for?
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----------------
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- **Library authors** building parallel algorithms that need portable performance
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across GPU architectures—without dropping to CUDA C++.
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- **Application developers** using PyTorch, CuPy, or other GPU-accelerated frameworks
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who need custom algorithms beyond what those libraries provide.
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.. toctree::
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:maxdepth: 2
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:caption: CCCL Python Libraries
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setup
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compute/index
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resources
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api_reference
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