Scalable Parallelism

Scalable parallelism refers to designing systems that can efficiently handle increasing workloads by adding more resources, like processors or computers. Instead of doing everything sequentially, tasks are divided into smaller parts that run simultaneously, speeding up the overall process. As demand grows, the system can grow as well, maintaining performance without becoming bottlenecked. This approach ensures that performance improves proportionally with added resources, making it suitable for large, complex computations or data processing tasks that need to expand over time.