Parallel Computing Questions
Parallel workload granularity refers to the size or scale of individual tasks or units of work that can be divided and executed concurrently in a parallel computing system. It determines the level of parallelism and the amount of computational resources required for efficient execution. Workload granularity can range from fine-grained tasks, where small portions of work are executed in parallel, to coarse-grained tasks, where larger chunks of work are divided and processed concurrently. The choice of workload granularity depends on factors such as the nature of the problem, the available resources, and the communication and synchronization overhead in the parallel system.