Compare Threads and Processes for Image Processing

For an image-processing workload, contrast threads and processes. Lay out how each handles memory and execution, then discuss how you would decide between them for a pipeline that may mix I/O with image transforms. Since no language, library, image fixture, or benchmark result is given, state your runtime assumptions and say what you would measure.

What a Strong Answer Covers

• Shared state, isolation, communication, and failure containment.
• Concurrency vs. parallel execution in the runtime you choose.
• Memory for image buffers, transfer overhead, and bounded pools of workers.
• Evidence that separates an I/O bottleneck from a compute bottleneck.

Follow-up Questions

• When can the cost of process communication wipe out the gains from parallel image processing?
• Why can a race occur even when workers mostly work on different images? Overview: Compare threads and processes for image processing, covering memory ownership, runtime parallelism, transfer overhead, bounded workers, and measurement.