What is data dependency in parallel computing?

What is data dependency in parallel computing?

Data dependency in parallel computing refers to the relationships between data elements that affect the execution of parallel tasks. It determines how tasks can be executed simultaneously without conflicts.

Can you give me an example of data dependency?

Sure! For instance, if Task A produces a result that Task B needs to use, Task B is dependent on Task A. If Task A hasn't completed yet, Task B cannot start.

How does data dependency affect performance?

Data dependency can significantly impact performance. High levels of dependency can lead to bottlenecks, as tasks must wait for others to complete, reducing parallelism.

What are the types of data dependencies?

There are several types of data dependencies, including true dependency (read-after-write), anti-dependency (write-after-read), and output dependency (write-after-write). Each affects task scheduling differently.