Integral. Given an input image $pSrc$ and the specified value $nVal$, the pixel value of the integral image $pDst$ at coordinate (i, j) will be computed as. NVIDIA continuously works to improve all of our CUDA libraries. NPP is a particularly large library, with + functions to maintain. We have a realistic goal of. Name, cuda-npp. Version, Summary. Description, CUDA package cuda-npp. Section, base. License, Proprietary. Homepage. Recipe file.

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Consequently, cuLIBOS must be provided to the linker when the static library is being linked against. To minimize library loading and CUDA runtime startup times it is recommended to use the static library s whenever possible. To improve loading cusa runtime performance when using dynamic libraries, NPP recently replaced it with a full set of nppi sub-libraries.

Linking to only the sub-libraries that contain functions that your application uses can significantly improve load time and runtime startup performance. The nppi sub-libraries are split into sections corresponding to the way that nppi header files are split.


cuda-npp 9.0.252-1

This list of sub-libraries is as follows:. For example, on Linux, to compile a small application foo using NPP against the dynamic library, the following command can be used:.

Depending on the host operating system, some additional libraries like pthread or dl might be needed on the linking line. Cuva following command on Linux is suggested:. The default stream ID is 0.

If an application intends to use NPP with multiple streams then it is the responsibility of the application to call nppSetStream whenever it wishes to change stream IDs. For best performance the application should first call nppGetStream and only call cida if the stream ID needs to change, nppSetStream will internally call cudaStreamSynchronize if necessary before changing stream IDs.

# (filter “scale_npp” fails to select correct algorithm (Nvidia CUDA/NPP scaler)) – FFmpeg

For this reason it is recommended that cudaDeviceSynchronize cuca at least cudaStreamSynchronize be called before making an nppSetStream call to change to a new stream ID.


This will insure that any internal function calls that have not yet occurred will be completed using the current stream ID before it changes to a new ID. Calling cudaDeviceSynchronize frequently can kill performance so minimizing the frequency of these calls is critical for good performance. All NPP functions should be thread safe except for the following functions:.

NVIDIA Performance Primitives

The initial set of functionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks in a variety of problem domains.

The NPP library is written to maximize flexibility, while maintaining high performance. For details please see http: This list of sub-libraries is as follows: