What are the key performance metrics in parallel programming?

What are the key performance metrics in parallel programming?

The key performance metrics in parallel programming include speedup, efficiency, scalability, and throughput.

Can you explain speedup and how it's calculated?

Speedup is the ratio of the time taken to complete a task on a single processor to the time taken on multiple processors. It's calculated as: Speedup = T1 / Tp, where T1 is the time on one processor and Tp is the time on p processors.

What about efficiency? How is it different from speedup?

Efficiency measures how effectively the processors are utilized. It's calculated as: Efficiency = Speedup / p, where p is the number of processors. It indicates the proportion of time the processors are doing useful work.

Are there any common pitfalls to avoid when measuring these metrics?

Yes, common pitfalls include not considering overhead costs, measuring under non-ideal conditions, and failing to account for load balancing.