Computer Science, asked by rajrai1318, 3 days ago

grain size is similar to

A. Scalability
B. Granularity
C. Multiplicity
D none of these ​

Answers

Answered by piyush359284
0

Answer:

(B.) Granularity

please check my answer and votes

Answered by rashich1219
0

Granularity

Explanation:

  • Granularity refers to the relative size, proportion or size of an object. It is widely used in astronomy, photography, physics, linguistics, and IT It can be used to describe the degree of a hierarchy
  • The The level of detail of things or actions, photos, or the amount of information that characterizes a person  For those who are not familiar with the context in which it is used, its meaning is not always
  • The granularity (or grain size) of a task in parallel computing is a measure of the amount of work (or calculation) performed by that task.Another definition of granularity relates to the amount of communication between multiple processors or processing units.
  • Granularity is defined as the ratio of computation time to communication time, where computation time is the time it takes to complete a task's computation and communication time is the time it takes to communicate data between processors.      
  • Parallel computer performance is influenced by granularity. More parallelism is achieved by using fine grains or little tasks, which boosts the speedup.
  • However, fine-grained task performance can be harmed by synchronisation overhead, scheduling techniques, and other factors. Increasing parallelism alone will not provide the optimum results.
  • Several studies have suggested their solutions for determining the appropriate granularity for parallel processing. The ideal grain size is determined by a variety of factors and differs substantially from problem to problem.
  • Granularity can be enhanced in order to reduce communication overhead. Although coarse-grained activities require less communication, they frequently result in load imbalance. As a result, the best performance is found between the fine-grained and coarse-grained parallelism extremes.
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