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The time spent communicating data between processing elements is usually the most significant source of parallel processing overhead. Idling: Processing elements in a parallel system may become idle due to many reasons such as load imbalance, synchronization, and presence of serial components in a program.
- What are the sources of overhead?
- What is overhead in parallel computing?
- Which of these is not a source of overhead in parallel computing?
- What are the four types of parallel computing?
What are the sources of overhead?
Overhead expenses include accounting fees, advertising, insurance, interest, legal fees, labor burden, rent, repairs, supplies, taxes, telephone bills, travel expenditures, and utilities.
What is overhead in parallel computing?
Parallel Overhead
Required execution time that is unique to parallel tasks, as opposed to that for doing useful work. Parallel overhead can include factors such as: Task start-up time.
Which of these is not a source of overhead in parallel computing?
Also, the overhead of thread creation is on the order of ----.
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| Q. | Which of these is not a source of overhead in parallel computing? |
|---|---|
| A. | non-uniform load distribution |
| B. | less local memory requirement in distributed computing |
| C. | synchronization among threads in shared memory computing |
| D. | none of the above |
What are the four types of parallel computing?
There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.
