Final answer:
Task granularity refers to the size and complexity of individual tasks in parallel programming. It is important for achieving efficient parallelization.
Step-by-step explanation:
Task granularity refers to the size and complexity of individual tasks within a parallel program. It determines how the tasks are divided and distributed across multiple processors or threads.
The importance of task granularity in parallel programming lies in achieving efficient parallelization. If tasks are too fine-grained, the overhead of task creation and synchronization may outweigh the benefits of parallel execution. Conversely, if tasks are too coarse-grained, some processors may stay idle, leading to underutilization of resources.
Optimal task granularity depends on factors like the nature of the program, the available resources, and the communication overhead between tasks. Identifying the right balance between task size and distribution is crucial for maximizing parallel performance.