suppose that 70% of the total runtime of an application is consumed in carrying out floating-point operations. what will be the overall improvement in performance if: a. all of the floating-point operations can be sped up by a factor of 1.6? b. only 50% of the floating-point operations that are consumed in evaluating an expensive function can be sped up by a factor of 5?

Respuesta :

Any mathematical operation (such +, -, *, or /) or assignment that uses floating-point numbers is known as a floating-point operation (as opposed to binary integer operations). Decimal points are present in floating-point numbers.

Explain about the floating point operations?

A positive or negative whole number with a decimal point is referred to as a floating point number. For instance, the values 5.5, 0.25, and -103.342 are all in the floating point range, while 91 and 0 are not. The name "floating point numbers" refers to how the decimal point can "float" to any required location.

This problem is caused by the fundamental representation of floating-point numbers, which uses a predetermined number of binary digits to represent a decimal integer. There are frequently tiny roundoff errors because some decimal quantities are challenging to convert to binary.

Remove a single loop iteration. Then total up all additions, multiplications, divisions, etc. in simple floating-point notation. Examples include the four floating-point operations in y = x * 2 * (y + z*w). Divide the result by the quantity of iterations.

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