Topmusicanswers
- What is granularity in parallel programming?
- What are the types of granularity?
- What are the four types of parallel computing?
- What is parallel computing with example?
What is granularity in parallel programming?
In parallel computing, granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task. Another definition of granularity takes into account the communication overhead between multiple processors or processing elements.
What are the types of granularity?
Types of Granularity
| Branching point | Distinguishing feature |
|---|---|
| saoG – samG | Overlay aggregated – entities aggregated according to scale |
| naG – nrG – nfG | Semantic aggregation – one type of relation between entities in different levels – different type of relation between entities in levels and relations among entities in level |
What are the four types of parallel computing?
There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.
What is parallel computing with example?
To recap, parallel computing is breaking up a task into smaller pieces and executing those pieces at the same time, each on their own processor or computer. ... Some examples of parallel computing include weather forecasting, movie special effects, and desktop computer applications.
