Octuple-precision floating-point format: Difference between revisions

Revision as of 01:05, 23 June 2015

Revision as of 01:14, 23 June 2015

Line 1:

In [[computing]], '''octuple precision''' is a binary [[floating-point]]-based [[computer number format]] that occupies 32 [[byte]]s (256 [[bit]]s) in computer memory. This 256-[[bit]] octuple precision is for applications requiring results in higher than [[quadruple precision]]. This format is rarely (if ever) used and very few things support it.

''''Simplest way of describing it:'''' Octuple-precision floating-point format is a way for computers to store numbers with decimals. It takes up a lot of space and can store very huge numbers.

{{Floating-point}}

Line 17 ⟶ 15:

[[File:Octuple persision visual demontration.png|1000px|Layout of octuple precision floating point format]]

To find the value do

<br />

<math>\text{value} = (-1)^\text{sign}\left(1 + \sum_{i=1}^{23} b_{23-i} 2^{-i} \right)\times 2^{(e-127)}</math>.

<br />

where '''sign''' is the first bit ( + or - ), '''e''' is the exponent, and '''i''' is the fraction

=== Exponent encoding ===