GPU Parallel Computing software solution examples with CUDA
By the time you complete this lab, you will be able to:
Write, compile, and run C/C++ programs that both call CPU functions and launch GPU kernels.
Control parallel thread hierarchy using execution configuration.
Refactor serial loops to execute their iterations in parallel on a GPU.
Allocate and free memory available to both CPUs and GPUs.
Handle errors generated by CUDA code.
Accelerate CPU-only applications.