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			71 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| # simpleCubemapTexture - Simple Cubemap Texture
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| 
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| ## Description
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| 
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| Simple example that demonstrates how to use a new CUDA 4.1 feature to support cubemap Textures in CUDA C.
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| 
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| ## Key Concepts
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| 
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| Texture, Volume Processing
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| 
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| ## Supported SM Architectures
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| 
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| [SM 5.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 5.2 ](https://developer.nvidia.com/cuda-gpus)  [SM 5.3 ](https://developer.nvidia.com/cuda-gpus)  [SM 6.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 6.1 ](https://developer.nvidia.com/cuda-gpus)  [SM 7.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 7.2 ](https://developer.nvidia.com/cuda-gpus)  [SM 7.5 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.0 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.6 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.7 ](https://developer.nvidia.com/cuda-gpus)  [SM 8.9 ](https://developer.nvidia.com/cuda-gpus)  [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
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| 
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| ## Supported OSes
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| 
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| Linux, Windows
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| 
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| ## Supported CPU Architecture
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| 
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| x86_64, ppc64le, armv7l
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| 
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| ## CUDA APIs involved
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| 
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| ### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
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| cudaMemcpy, cudaCreateChannelDesc, cudaFreeArray, cudaFree, cudaPitchedPtr, cudaPos, cudaDestroyTextureObject, cudaExtent, cudaDeviceSynchronize, cudaCreateTextureObject, cudaMalloc, cudaGetDeviceProperties
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| 
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| ## Prerequisites
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| 
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| Download and install the [CUDA Toolkit 12.5](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
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| 
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| ## Build and Run
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| 
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| ### Windows
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| The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
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| ```
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| *_vs<version>.sln - for Visual Studio <version>
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| ```
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| Each individual sample has its own set of solution files in its directory:
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| 
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| To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
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| > **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
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| 
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| ### Linux
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| The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
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| ```
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| $ cd <sample_dir>
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| $ make
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| ```
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| The samples makefiles can take advantage of certain options:
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| *  **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l.
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|     By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
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| `$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/>
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|     See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
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| *   **dbg=1** - build with debug symbols
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|     ```
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|     $ make dbg=1
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|     ```
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| *   **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
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|     ```
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|     $ make SMS="50 60"
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|     ```
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| 
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| *  **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
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| ```
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|     $ make HOST_COMPILER=g++
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| ```
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| 
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| ## References (for more details)
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| 
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