Lecture

Data-Parallel Programming: Basics and Mandelbrot Set

Description

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.

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