Abstract
This chapter explains how to create an executable kernel for a CUDA C code or PTX code and run that kernel on a GPU by calling it through MATLAB. Moreover, a brief introduction of CUDA C is presented. Furthermore, two classic examples, vector addition and matrix multiplication, are presented. After reading this chapter, you should be able to: •understand the basic features of a CUDA C code.•compile kernels written in CUDA C.•use compiled PTX codes to create CUDAKernel objects.•execute kernels on a GPU by calling them through MATLAB.•set properties on the CUDAKernel object to control its execution on the GPU.
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