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docs: fix stale sample README links flagged by lychee #3076

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4 changes: 2 additions & 2 deletions samples/cuda_bindings/3_CUDA_Features/globalToShmemAsyncCopy/README.md
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Expand Up @@ -113,5 +113,5 @@ Result = PASS
- [CUDA Python Documentation](https://nvidia.github.io/cuda-python/)
- [`samples/cuda_core/matrixMulSharedMem/`](../../../cuda_core/matrixMulSharedMem/) - basic tiled GEMM (no async copy)
- [CUDA C++ Programming Guide — Asynchronous Data Copies](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#asynchronous-data-copies)
- [`libcudacxx` `cuda::memcpy_async`](https://nvidia.github.io/libcudacxx/extended_api/asynchronous_operations/memcpy_async.html)
- [`libcudacxx` `cuda::pipeline`](https://nvidia.github.io/libcudacxx/extended_api/synchronization_primitives/pipeline.html)
- [`libcudacxx` `cuda::memcpy_async`](https://nvidia.github.io/cccl/unstable/libcudacxx/extended_api/asynchronous_operations/memcpy_async.html)
- [`libcudacxx` `cuda::pipeline`](https://nvidia.github.io/cccl/unstable/libcudacxx/extended_api/synchronization_primitives/pipeline.html)
2 changes: 1 addition & 1 deletion samples/cuda_core/binarySearch/README.md
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Expand Up @@ -29,7 +29,7 @@ diverge on present values). Results are verified against

## Key Libraries

- [`cuda.compute`](https://nvidia.github.io/cccl/python.html) (from the `cuda-cccl` package) - device algorithms
- [`cuda.compute`](https://nvidia.github.io/cccl/unstable/python/compute/index.html) (from the `cuda-cccl` package) - device algorithms
- [`cuda.core`](https://nvidia.github.io/cuda-python/cuda-core/latest/) - device setup
- `cupy` - device buffers
- `numpy` - host-side reference via `numpy.searchsorted`
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2 changes: 1 addition & 1 deletion samples/cuda_core/cudaComputeLambdas/README.md
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Expand Up @@ -30,7 +30,7 @@ The sample exercises three algorithm families:

## Key Libraries

- [`cuda.compute`](https://nvidia.github.io/cccl/python.html) (from the `cuda-cccl` package) - device algorithms and JIT-compiled Python ops
- [`cuda.compute`](https://nvidia.github.io/cccl/unstable/python/compute/index.html) (from the `cuda-cccl` package) - device algorithms and JIT-compiled Python ops
- [`cuda.core`](https://nvidia.github.io/cuda-python/cuda-core/latest/) - device setup
- `cupy` - device buffers
- `numpy` - scalar init values and host-side verification
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2 changes: 1 addition & 1 deletion samples/cuda_core/launchConfigTuning/README.md
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Expand Up @@ -183,6 +183,6 @@ specific kernel characteristics. Always benchmark to find the best!

- [cuda.core Documentation](https://nvidia.github.io/cuda-python/cuda-core/latest/)
- [cuda.core.LaunchConfig](https://nvidia.github.io/cuda-python/cuda-core/latest/generated/cuda.core.LaunchConfig.html)
- [CUDA Occupancy Calculator](https://docs.nvidia.com/cuda/cuda-occupancy-calculator/)
- [Nsight Compute Occupancy Calculator](https://docs.nvidia.com/nsight-compute/NsightCompute/index.html#occupancy-calculator)
- [CUDA Best Practices Guide - Execution Configuration](https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/index.html#execution-configuration-optimizations)
- [Nsight Compute Profiler](https://developer.nvidia.com/nsight-compute)
2 changes: 1 addition & 1 deletion samples/cuda_core/pageRank/README.md
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Expand Up @@ -181,4 +181,4 @@ RAPIDS cuGraph provides production-grade, GPU-accelerated graph analytics:

- [RAPIDS cuGraph Documentation](https://docs.rapids.ai/api/cugraph/stable/)
- [cuGraph GitHub Repository](https://github.com/rapidsai/cugraph)
- [RAPIDS Installation Guide](https://rapids.ai/start.html)
- [RAPIDS Installation Guide](https://docs.nvidia.com/datascience/install/)
2 changes: 1 addition & 1 deletion samples/cuda_core/simplePrint/README.md
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Expand Up @@ -260,4 +260,4 @@ Try modifying:

### CUDA References:
- [CUDA C Programming Guide - Printf](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#formatted-output)
- [C++ simplePrintf Sample](https://github.com/NVIDIA/cuda-samples/tree/master/Samples/0_Introduction/simplePrintf)
- [C++ simplePrintf Sample](https://github.com/NVIDIA/cuda-samples/tree/master/cpp/0_Introduction/simplePrintf)
2 changes: 1 addition & 1 deletion samples/cuda_core/tmaTensorMap/README.md
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Expand Up @@ -135,4 +135,4 @@ replace_address verified: descriptor reused with new source tensor

- [CUDA Python Documentation](https://nvidia.github.io/cuda-python/)
- [TMA in the CUDA C++ Programming Guide](https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#tensor-memory-accelerator)
- [`cuda::barrier` reference](https://nvidia.github.io/cccl/libcudacxx/extended_api/synchronization_primitives/barrier.html)
- [`cuda::barrier` reference](https://nvidia.github.io/cccl/unstable/libcudacxx/extended_api/synchronization_primitives/barrier.html)
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