On the other hand, the GPU can only render three types of primitives:įortunately, the GPU gives full control on, essentially, two things: How to use the GPU for scientific visualization? At a high level, the user has some scientific data: a set of 2D or 3D points, a graph, a volume, an image, and so on. Scenes are typically less dynamic, there is less heterogeneity in the types of objects rendered in the scene, and high visual accuracy is an absolute requirement. The GPU can also be used for scientific applications, which has quite different requirements. The GPU is typically used by video games, which render complex, animated 3D meshes with real-time special effects and low latency. This design choice gives more control to the developer and helps achieving higher performance. It is harder to user than older APIs like OpenGL because it proposes a relatively low level of abstraction. Vulkan is a low-level graphics API that provides extensive control on the GPU for rendering and compute. The GPU is a massively parallel computing unit dedicated to real-time graphics rendering. Using the GPU for scientific visualization ¶ Understanding the basic principles Vulkan is required when writing custom visuals or graphics, but it is not required when using existing visuals. This page proposes a high-level, simplified overview of Vulkan for beginners. Using the GPU for scientific visualization
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |