- What is floating point and fixed point?
- How is floating point stored?
- What is fixed point format?
- Why do we need floating point representation?
- Why is arithmetic floating slow?
- What are the advantages of representing floating point numbers in Normalised form?
- How do you convert a float to a fixed point?
- Is fixed point faster than floating point?
- What is a floating point representation?
- What is a floating point number example?
- How do you represent a number in floating point representation?
- What is a floating point processor?

## What is floating point and fixed point?

The term ‘fixed point’ refers to the corresponding manner in which numbers are represented, with a fixed number of digits after, and sometimes before, the decimal point.

With floating-point representation, the placement of the decimal point can ‘float’ relative to the significant digits of the number..

## How is floating point stored?

Floating-point numbers are encoded by storing the significand and the exponent (along with a sign bit). Like signed integer types, the high-order bit indicates sign; 0 indicates a positive value, 1 indicates negative. The next 8 bits are used for the exponent.

## What is fixed point format?

In computing, a fixed-point number representation is a real data type for a number that has a fixed number of digits after (and sometimes also before) the radix point (after the decimal point ‘. ‘ in English decimal notation).

## Why do we need floating point representation?

We call this floating-point representation because the values of the mantissa bits “float” along with the decimal point, based on the exponent’s given value. This is in contrast to fixed-point representation, where the decimal point is always in the same place among the bits given.

## Why is arithmetic floating slow?

Floating-point operations are always slower than integer ops at same data size. … 64 bits integer precision is really slow. Float 32 bits is faster than 64 bits on sums, but not really on products and divisions. 80 and 128 bits precisions should only be used when absolutely necessary, they are very slow.

## What are the advantages of representing floating point numbers in Normalised form?

A normalized number provides more accuracy than corresponding de-normalized number. The implied most significant bit can be used to represent even more accurate significand (23 + 1 = 24 bits) which is called subnormal representation. The floating point numbers are to be represented in normalized form.

## How do you convert a float to a fixed point?

Converting from a floating-point value to a fixed-point value involves the following steps: Multiply the float by 2^(number of fractional bits for the type), eg. 2^8 for 24.8. Round the result (just add 0.5) if necessary, and floor it (or cast to an integer type) leaving an integer value.

## Is fixed point faster than floating point?

Fixed point math, independent of processor speed, is easier to code with and faster than floating point math. Fixed point is adequate unless you know that you will be dealing with higher numbers than the fixed-point unit can handle. … A floating-point number doesn’t have a fixed number of bits before and after a decimal.

## What is a floating point representation?

The term floating point refers to the fact that a number’s radix point (decimal point, or, more commonly in computers, binary point) can “float”; that is, it can be placed anywhere relative to the significant digits of the number.

## What is a floating point number example?

As the name implies, floating point numbers are numbers that contain floating decimal points. For example, the numbers 5.5, 0.001, and -2,345.6789 are floating point numbers. Numbers that do not have decimal places are called integers.

## How do you represent a number in floating point representation?

In 32-bit single-precision floating-point representation:The most significant bit is the sign bit ( S ), with 0 for positive numbers and 1 for negative numbers.The following 8 bits represent exponent ( E ).The remaining 23 bits represents fraction ( F ).

## What is a floating point processor?

The floating-point processor provides high-performance execution of floating-point operations. Instructions are provided to perform arithmetic, comparison, and other operations in floating-point registers, and to move floating-point data between storage and the floating-point registers.