What is scalability in parallel programming?

What is scalability in parallel programming?

Scalability in parallel programming refers to the ability of a system to handle increased workload by adding resources, such as processors or nodes.

Why is scalability important in software development?

Scalability is crucial because it ensures that software can grow and manage increased demand without performance degradation.

Can you give examples of scalable parallel programming models?

Sure! Examples include MapReduce, Apache Spark, and MPI (Message Passing Interface), which efficiently distribute tasks across multiple processors.

What challenges do developers face with scalability?

Developers often face challenges like load balancing, resource management, and ensuring data consistency across distributed systems.

How can I test the scalability of my application?

You can test scalability using load testing tools like JMeter or Gatling, which simulate multiple users and measure performance.