Bill Chou, MathWorks
GPU Coder™ generates optimized CUDA® code from MATLAB® code and Simulink® models. The generated code includes CUDA kernels for parallelizable parts of your deep learning, embedded vision, and signal processing algorithms. For high performance, the generated code calls optimized NVIDIA® CUDA libraries, including TensorRT™, cuDNN, cuFFT, cuSolver, and cuBLAS. You can integrate the code into your project as source code, static libraries, or dynamic libraries. You can also compile the code for desktops, servers, and GPUs embedded on NVIDIA Jetson® , NVIDIA DRIVE®, and other platforms.
Featured Product
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
Select web siteYou can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.