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Granularity
In 'Parallel computing', Granularity can be defined as a qualitative assess of the ratio of computation to communication.
1) Coarse Granularity- relatively huge amount of computational work is done among communication events.
2) Fine Granularity- relatively little amount of computational work is done between communication events.
3) Observed Speedup- Observed speedup of a code, which has been parallelized, is termed as:
(Wall-clock time of serial) / (wall-clock time of parallel)
Granularity is one of the simplest and most extensively used indicators for parallel program's performance.
Message passing is possible the most widely used parallel programming paradigm these days. It is the most portable, natural and efficient scheme for distributed memory systems. It
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