Lecture
This lecture introduces data-parallel programming as a form of parallelization distributing execution processes across computing nodes. It covers the parallel for loop, initialization of array values, and rendering the Mandelbrot set using data-parallel programming. The instructor demonstrates the computation of the Mandelbrot set, workload types (uniform and irregular), and the goal of the data-parallel scheduler.