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53 lines
2.4 KiB
ReStructuredText
53 lines
2.4 KiB
ReStructuredText
.. _cccl-cpp-libraries:
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CUDA C++ Core Libraries
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=======================
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.. toctree::
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:hidden:
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:maxdepth: 3
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libcu++ <https://nvidia.github.io/cccl/libcudacxx/>
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CUB <https://nvidia.github.io/cccl/cub/>
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Thrust <https://nvidia.github.io/cccl/thrust/>
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Cuda Experimental <https://nvidia.github.io/cccl/cudax/>
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Welcome to the CUDA Core Compute Libraries (CCCL) libraries for C++.
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The concept for the CCCL C++ librarires grew organically out of the Thrust,
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CUB, and libcudacxx projects that were developed independently over the years
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with a similar goal: to provide high-quality, high-performance, and
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easy-to-use C++ abstractions for CUDA developers. Naturally, there was a lot
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of overlap among the three projects, and it became clear the community would
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be better served by unifying them into a single repository.
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- `libcu++ <https://nvidia.github.io/cccl/libcudacxx/>`__
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is the CUDA C++ Standard Library. It provides an implementation of the C++
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Standard Library that works in both host and device code. Additionally, it
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provides abstractions for CUDA-specific hardware features like
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synchronization primitives, cache control, atomics, and more.
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- `CUB <https://nvidia.github.io/cccl/cub/>`__
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is a lower-level, CUDA-specific library designed for speed-of-light parallel
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algorithms across all GPU architectures. In addition to device-wide
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algorithms, it provides *cooperative algorithms* like block-wide reduction
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and warp-wide scan, providing CUDA kernel developers with building blocks to
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create speed-of-light, custom kernels.
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- `Thrust <https://nvidia.github.io/cccl/thrust/>`__
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is the C++ parallel algorithms library which inspired the introduction of
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parallel algorithms to the C++ Standard Library. Thrust's high-level
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interface greatly enhances programmer productivity while enabling performance
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portability between GPUs and multicore CPUs via configurable backends that
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allow using multiple parallel programming frameworks (such as CUDA, TBB, and
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OpenMP).
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- `Cuda Experimental <https://nvidia.github.io/cccl/cudax/>`__
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is a library of experimental features that are still in the design process.
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The main goal of the CCCL C++ libraries is to fill a similar role that the
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Standard C++ Library fills for Standard C++: provide general-purpose,
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speed-of-light tools to CUDA C++ developers, allowing them to focus on
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solving the problems that matter. Unifying these projects is the first step
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towards realizing that goal.
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