This is a CUDA/OpenGL interoperability project

introduction

OpenGL is a graphics library with a wide range of APIs to render 2D and 3D graphics on the screen. It provides more than 200 functions for easily rendering vector graphics on GPU, including primitive function, attribute functions, viewing functions, input functions, and control functions. CUDA is a parallel computing platform. It enables software developers to use GPU efficiently. CUDA-OpenGL Interoperability enables the calculation of OpenGL can be done in parallel to achieve better performance. Even it is possible to finish all visualization without leaving GPU.

Implementation

Julia set is a set of complex numbers. The Julia set consists of values in which a small perturbation can cause drastic changes in the sequence of iterated function values [4]. The family of complex quadratic gives a very popular complex dynamical system. The Julia set can be expressed as the function: f(z) = z^2 +c
c is a complex number. For this iteration, the Julia set is a fractal. The calculation of Julia set is computing intensive when 𝑐𝑐 is updating. Thus, we use CUDA for the calculation.

$f(z) = z^2 + 0.578 * cos(a) + i* 0.578 * sin(a)$ The a has a range updated from 0 to 2* Pi. The OpenGL is used to render the graphics. Majority calculation is finished on CUDA.

Result

Run program: sh run realTimeJuliaSet ./realTimeJuliaSet

The Julia Set with a range from 0 to 2Pi will be shown.