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Parallelism based on Granularity size
Granularity: Granularity or Grain size is a determine which measure how much computation is devoted in a process.Granularity size is determined by counting the number of instructions in a program section. The following types of grain sizes have been recognized (shown in Figure):
1) Fine Grain: This type includes approximately less than 20 instructions.
2) Medium Grain: This type includes approximately less than 500 instructions.
3) Coarse Grain: This type includes approximately greater than or identical to one thousand instructions.
Based on these Granularity sizes, parallelism can be specified at various stages in a program. These parallelism stages form a hierarchy according to which, lower the level, the greater is the granularity of the process. The degree of parallelism reduces with increase in level. Every stages according to a granularity size demands scheduling and communication overhead. Following are the parallelism levels (shown in Figure ):
Propositional model: Hence a propositional model was simply an assignments of truth values to propositions. In distinguish, a first-order model is a pair (Δ, Θ) where
definf memory operation
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