What are data dependencies in parallel processing?

What are data dependencies in parallel processing?

Data dependencies refer to the relationships between data elements that affect the execution order of operations in parallel processing.

Can you give me examples of different types of data dependencies?

Sure! The main types are: 1) True dependency (read-after-write), 2) Anti-dependency (write-after-read), and 3) Output dependency (write-after-write).

How do these dependencies impact performance?

They can significantly impact performance by limiting the level of parallelism. True dependencies can cause delays, while anti and output dependencies can lead to conflicts.

What strategies can be used to manage these dependencies?

Strategies include reordering instructions, using data partitioning, and employing techniques like loop unrolling to minimize dependencies.