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→CUDA Application Domains
= CUDA Application Domains =
[[File:CUDA_App_Domains.jpg]]
“CUDA and Nvidia GPUs have been adopted in many areas that need high floating-point computing performance, as summarized pictorially in the image above. A more comprehensive list includes:
1. Computational finance
2. Climate, weather, and ocean modeling
3. Data science and analytics
4. Deep learning and machine learning
5. Defense and intelligence
6. Manufacturing/AEC (Architecture, Engineering, and Construction): CAD and CAE (including computational fluid dynamics, computational structural mechanics, design and visualization, and electronic design automation)
7. Media and entertainment (including animation, modeling, and rendering; color correction and grain management; compositing; finishing and effects; editing; encoding and digital distribution; on-air graphics; on-set, review, and stereo tools; and weather graphics)
8. Medical imaging
9. Oil and gas
10. Research: Higher education and supercomputing (including computational chemistry and biology, numerical analytics, physics, and scientific visualization)
11. Safety and security
12. Tools and management”
[https://www.infoworld.com/article/3299703/what-is-cuda-parallel-programming-for-gpus.html Source]