Intel engineers are no longer directly supporting or updating this sample. Please check on our forums for community support.
GPU Detect is a short graphics code sample demonstrates a way to detect the primary graphics hardware present in a system (including the 6th Generation Intel® Core™ processor family).
This article details an algorithm and associated sample code for software occlusion culling which is available for download. The technique divides scene objects into occluders and occludees and culls occludees based on a depth comparison with the occluders that are software rasterized to the depth buffer. The sample code uses frustum culling and is optimized with Streaming SIMD Extensions (SSE)...
Today any review of a new processor whether it’s used in a desktop computer, a laptop, a tablet or a phone will contain lots of information about how efficient it is and the new technologies that have been used to achieve this performance. Operating system developers spend large amounts of time optimizing improve efficiency and extend battery life, but what can be done by someone who is designing...
This sample shows how to implement an explicit multi-adapter application using DirectX 12. Intel’s integrated GPU (iGPU) and a discrete NVIDIA GPU (dGPU) are used to share the workload of ray-tracing a scene. The parallel use of both GPUs allows for an increase in performance and for more complex workloads. This sample uses multiple adapters to render a simple ray-traced scene using a pixel...
This sample demonstrates how to properly access the memory from the CPU to maintain performance with the sample code for computing the tiled addressing scheme. This sample has been updated to include support for the MAP_TILE_TYPE_TILE_Y_NO_CSX_SWIZZLE format.
Use this code sample to learn how to use a native Unity plug-in to increase performance of displaying Intel® RealSense™ SDK image data by bypassing the C# layers of the SDK. Image data is uploaded to the GPU directly through the graphics API.