This application enumerates the properties of the CUDA devices present in the system and displays them in a human readable format.

This application is a very basic demo that implements element by element vector addition.

This application provides the memcopy bandwidth of the GPU and memcpy bandwidth across PCI‑e. This application is capable of measuring device to device copy bandwidth, host to device copy bandwidth for pageable and page-locked memory, and device to host copy bandwidth for pageable and page-locked memory.

Arguments:

Usage:  bandwidthTest [OPTION]...
Test the bandwidth for device to host, host to device, and device to device transfers

Example:  measure the bandwidth of device to host pinned memory copies in the range 1024 Bytes to 102400 Bytes in 1024 Byte increments
./bandwidthTest --memory=pinned --mode=range --start=1024 --end=102400 --increment=1024 --dtoh

Provides detailed statistics about peer-to-peer memory bandwidth amongst GPUs present in the system as well as pinned, unpinned memory bandwidth.

Arguments:

Order of parameters maters.
Examples:
    ./BusGrind -n -p 1 -e 1   Run all pinned and P2P tests
    ./BusGrind -n -u 1        Runs only unpinned tests
    ./BusGrind -a             Runs all tests (pinned, unpinned, p2p enabled, p2p disabled)

This demo does an efficient all-pairs simulation of a gravitational n-body simulation in CUDA. It scales the n-body simulation across multiple GPUs in a single PC if available. Adding "-numbodies=num_of_bodies" to the command line will allow users to set # of bodies for simulation. Adding "-numdevices=N" to the command line option will cause the sample to use N devices (if available) for simulation. In this mode, the position and velocity data for all bodies are read from system memory using "zero copy" rather than from device memory. For a small number of devices (4 or fewer) and a large enough number of bodies, bandwidth is not a bottleneck so we can achieve strong scaling across these devices.

Arguments:

This is a graphical demo which simulates an ocean height field using the CUFFT library, and renders the result using OpenGL.

The following keys can be used to control the output:

This is a graphical demo which does pseudo- and quasi- random numbers visualization produced by CURAND. On creation, randomFog generates 200,000 random coordinates in spherical coordinate space (radius, angle rho, angle theta) with curand's XORWOW algorithm. The coordinates are normalized for a uniform distribution through the sphere. The X axis is drawn with blue in the negative direction and yellow positive. The Y axis is drawn with green in the negative direction and magenta positive. The Z axis is drawn with red in the negative direction and cyan positive.

The following keys can be used to control the output: