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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 ):
how to find the integral of a function represented by collection of experimental data
Q. Reduce following to minimum literals and derive their complements. 1. [(AB)'A][(AB)'B] 2. ABC(ABC' + AB'C + A'BC) 3. (A+C+D) (A+C+D') (A+C'+D)(A+D')
No, You cannot apply the link and Association interchangeably. Since link is used show the relationship among the two objects. But Association is used signify the relationship
#questi on.. How it works explain
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System.Query.dll assembly shows the core LINQ API.
Process: pid start time end time priority timeslice list of CPU bursts list of IO bursts (the number of IO burst will always be 1 less than the number of CPU
#example of cascading rollback#
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