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Q. How codes represent data for scientific calculations?
How codes are in fact used to represent data for scientific calculations?
The computer is a discrete digital device and stores information in flip-flops that are two state devices means in binary form. Fundamental requirements of computational data representation in binary form are:
The solution for sign representation is easy since sign can be either negative or positive hence one bit can be used to signify sign. By default it must be left most bit (in most of the machines it's Most Significant Bit).
Therefore a number of n bits can be represented as n+l bit number where n+lth bit is sign bit and rest n bits signify its magnitude.
Figure: A (n + 1) bit number
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Subtraction 11001-10110 using 1's complement Ans. 11001 - 10110 01001 is 1' s Compliment of 10110, so 1 1 0 0 1 + 0 1 0 0 1 ------------------ 1 0 0 0 1 0 Add 1
Granularity Granularity refers to the quantity of computation done in parallel relative to the dimension of the entire program. In parallel computing, granularity is a qualitat
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