Heterogeneous computing

Heterogeneous computing means using different kinds of computers or processors that are good at different things, to work together to do a complicated task. It's like building a puzzle where you have different pieces that are all unique, but when you put them together just right, you get a complete and beautiful picture!

Imagine you are making something to eat with your mom. You will need a cutting board to chop vegetables, a pot to cook meat, and a blender to make a fruit smoothie. Each of these tools has a specific job that they are good at. In heterogeneous computing, we use different tools or processors - like a CPU, GPU and FPGA - to perform different tasks that are important for a larger task.

For example, suppose you have a big data set that you want to analyze. To do that, you need to do some tasks that are better suited to a CPU, like processing and managing data, and some tasks that are better suited to a GPU, like performing complex calculations. By using both of these processors together, you can complete the analysis faster and more efficiently.

So, heterogeneous computing is like using different tools in the kitchen or in a tool kit, to build or create something more quickly or effectively. Instead of relying on just one tool or processor, we can use multiple types of processors to work together and achieve a common goal faster and more efficiently.