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

* Thrust: Fix copy-paste from libcu++ and Thrust link in README

* CUB: README: Fix links to documentation

cub/README.md

@@ -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>

thrust/README.md

@@ -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
 
@@ -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