What is scalability in algorithm design?

What is scalability in algorithm design?

Scalability in algorithm design refers to the ability of an algorithm to handle increasing amounts of data or workload efficiently.

Why is scalability important for algorithms?

Scalability is crucial because it ensures that an algorithm remains efficient and effective as the size of the input grows, preventing performance bottlenecks.

Can you give an example of a scalable algorithm?

Sure! The Merge Sort algorithm is a good example of a scalable algorithm, as it can efficiently sort large datasets by dividing them into smaller subarrays.

What are some challenges in designing scalable algorithms?

Challenges include managing resource consumption, ensuring parallel processing capabilities, and maintaining performance as data size increases.