Data Parallelisms And Temporal Parallelisms
Data Parallelisms And Temporal Parallelisms
Data Parallelisms | Temporal Parallelisms |
---|---|
Same task are performed on different subsets of same data. | Different task are performed on the same data. |
Synchronous computation is performed. | Parallel computation is performed. |
Is a parallelization across multiple computing environment | As three people Work in the common time it is called temporal Parallelisms |
Amount of parallelization is proportional to the input size. | Amount of parallelization is proportional to the number of independent tasks is performed. |
As there is only one execution thread operating on all sets of data, so the speedup is more. | As each processor will execute a different thread or process on the same or different set of data, so speedup is less. |
It is designed for optimum load balance on multiprocessor system. | Here, load balancing depends upon on the e availability of the hardware and scheduling algorithms like static and dynamic scheduling. |
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