How do different parallel libraries compare in performance?

How do different parallel libraries compare in performance?

The performance of parallel libraries can vary significantly based on the specific use case, hardware, and workload. Are you looking for a comparison of specific libraries?

Yes, I'm particularly interested in OpenMP, MPI, and TBB.

OpenMP is great for shared memory systems and is easy to implement. MPI excels in distributed systems, while TBB offers advanced task scheduling. What kind of application are you considering?

I'm working on a data processing application that needs to scale.

For a scalable data processing application, MPI might be the best choice due to its efficiency in distributed environments. However, if you're working on a shared memory system, OpenMP could be more straightforward.

What about the ease of use and learning curve for each?

OpenMP has a gentler learning curve with its pragma directives, while MPI can be more complex due to its message-passing model. TBB is also user-friendly but requires understanding of task-based programming.