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Thrust and CUB: README: Fix copy-paste from libcu++ and links #1878

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Thrust and CUB: README: Fix copy-paste from libcu++ and links #1878

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2edddc9
Thrust: Fix copy-paste from libcu++ and Thrust link in README
pauleonix Jun 18, 2024
ce236c5
CUB: README: Fix links to documentation
pauleonix Jun 18, 2024
e3ddf56
Merge branch 'main' into patch-2
pauleonix Jun 25, 2024
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12 changes: 6 additions & 6 deletions cub/README.md
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Expand Up @@ -3,23 +3,23 @@

CUB provides state-of-the-art, reusable software components for every layer
of the CUDA programming model:
- [<b><em>Device-wide primitives</em></b>](https://nvlabs.github.io/cub/group___device_module.html)
- [<b><em>Device-wide primitives</em></b>](https://nvidia.github.io/cccl/cub/device_wide.html)
- Sort, prefix scan, reduction, histogram, etc.
- Compatible with CUDA dynamic parallelism
- [<b><em>Block-wide "collective" primitives</em></b>](https://nvlabs.github.io/cub/group___block_module.html)
- [<b><em>Block-wide "collective" primitives</em></b>](https://nvidia.github.io/cccl/cub/block_wide.html)
- I/O, sort, prefix scan, reduction, histogram, etc.
- Compatible with arbitrary thread block sizes and types
- [<b><em>Warp-wide "collective" primitives</em></b>](https://nvlabs.github.io/cub/group___warp_module.html)
- [<b><em>Warp-wide "collective" primitives</em></b>](https://nvidia.github.io/cccl/cub/warp_wide.html)
- Warp-wide prefix scan, reduction, etc.
- Safe and architecture-specific
- [<b><em>Thread and resource utilities</em></b>](https://nvlabs.github.io/cub/group___util_io.html)
- <b><em>Thread and resource utilities</em></b>
- PTX intrinsics, device reflection, texture-caching iterators, caching memory allocators, etc.

![Orientation of collective primitives within the CUDA software stack](http://nvlabs.github.io/cub/cub_overview.png)
![Orientation of collective primitives within the CUDA software stack](https://nvidia.github.io/cccl/cub/_images/cub_overview.png)

CUB is included in the NVIDIA HPC SDK and the CUDA Toolkit.

We recommend the [CUB Project Website](http://nvlabs.github.io/cub) for further information and examples.
We recommend the [CUB Project Website](https://nvidia.github.io/cccl/cub/) for further information and examples.

<br><hr>
<h3>A Simple Example</h3>
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6 changes: 3 additions & 3 deletions thrust/README.md
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Expand Up @@ -9,10 +9,10 @@ It builds on top of established parallel programming frameworks (such as CUDA,
It also provides a number of general-purpose facilities similar to those found
in the C++ Standard Library.

The NVIDIA C++ Standard Library is an open source project; it is available on
Thrust is an open source project; it is available on
[GitHub] and included in the NVIDIA HPC SDK and CUDA Toolkit.
If you have one of those SDKs installed, no additional installation or compiler
flags are needed to use libcu++.
flags are needed to use Thrust.

## Examples

Expand Down Expand Up @@ -186,7 +186,7 @@ Thrust is an open source project developed on [GitHub].
Thrust is distributed under the [Apache License v2.0 with LLVM Exceptions].
Some parts are distributed under the [Apache License v2.0] and the [Boost License v1.0].

[GitHub]: https://github.com/nvidia/thrust
[GitHub]: https://github.com/NVIDIA/cccl/tree/main/thrust

[contributing section]: https://nvidia.github.io/thrust/contributing.html

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