What is throughput in parallel systems?

What is throughput in parallel systems?

Throughput in parallel systems refers to the amount of work or data processed in a given time frame across multiple processes.

How does it differ from serial processing?

In serial processing, tasks are completed one after another, while parallel processing allows multiple tasks to be executed simultaneously, increasing throughput.

What factors affect throughput in these systems?

Factors include the number of parallel processes, resource availability, task complexity, and communication overhead between processes.

Can you give an example of a parallel system?

Sure! A common example is a multi-core CPU where each core can handle different tasks at the same time, improving overall throughput.

How can I measure throughput in my system?

You can measure throughput by calculating the number of completed tasks or data units over a specific time period, often using performance monitoring tools.