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aeab82ff30
- Added Python samples for CUDA Python 1.0 release - Renamed top-level `Samples` directory to `cpp` to accommodate Python samples.
35 lines
919 B
Markdown
35 lines
919 B
Markdown
# cdpSimplePrint - Simple Print (CUDA Dynamic Parallelism)
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## Description
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This sample demonstrates simple printf implemented using CUDA Dynamic Parallelism. This sample requires devices with compute capability 3.5 or higher.
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## Key Concepts
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CUDA Dynamic Parallelism
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## Supported SM Architectures
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## Supported OSes
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Linux, Windows
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## Supported CPU Architecture
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x86_64, armv7l
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## CUDA APIs involved
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### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
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cudaDeviceSynchronize, cudaGetLastError, cudaGetDeviceProperties, cudaDeviceSetLimit
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## Dependencies needed to build/run
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[CDP](../../../README.md#cuda-dynamic-parallellism)
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## Prerequisites
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Download and install the [CUDA Toolkit](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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Make sure the dependencies mentioned in [Dependencies]() section above are installed.
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## References (for more details)
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