Single-precision floating-point format (sometimes called FP32 or float32) is a computer number format, usually occupying 32 bits in computer memory; it...

Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory;...

In computing, half precision (sometimes called FP16 or float16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern...

by using a floating radix point. This format is a shortened (16-bit) version of the 32-bit IEEE 754 single-precision floating-point format (binary32)...

quadruple precision (or quad precision) is a binary floating-point–based computer number format that occupies 16 bytes (128 bits) with precision at least...

In computing, octuple precision is a binary floating-point-based computer number format that occupies 32 bytes (256 bits) in computer memory. This 256-bit...

Extended precision refers to floating-point number formats that provide greater precision than the basic floating-point formats. Extended-precision formats support...

Hexadecimal floating point (now called HFP by IBM) is a format for encoding floating-point numbers first introduced on the IBM System/360 computers, and...

(including double-double) Significant figures Single-precision floating-point format The significand of a floating-point number is also called mantissa by some...

Half-precision floating-point format Single-precision floating-point format Double-precision floating-point format Quadruple-precision floating-point format...

property of the single- and double-precision formats is that their encoding allows one to easily sort them without using floating-point hardware, as if...

floating-point number format that occupies 16 bytes (128 bits) in memory. Like the binary128 formats, decimal128 takes place where extreme precision or...

64-bit, double-precision format as a separate data type from 32-bit, single-precision. Microsoft used the same floating-point formats in their implementation...

decimal floating-point computer number format that occupies 8 bytes (64 bits) in computer memory. decimal64 fits well to replace binary64 format in applications...

Half-precision floating-point format Single-precision floating-point format Double-precision floating-point format IEEE Standard for Floating-Point Arithmetic...

decimal floating-point computer numbering format that occupies 4 bytes (32 bits) in computer memory. Like the binary16 and binary32 formats, decimal32...

was the most widely used format for floating-point computation. It was implemented in software, in the form of floating-point libraries, and in hardware...

absolute value is greater than 224 (for binary single-precision IEEE floating point) or of 253 (for double-precision). Overflow or underflow may occur if |S|...

programming languages, long double refers to a floating-point data type that is often more precise than double precision though the language standard only requires...

slower than fixed-length format floating-point instructions. When high performance is not a requirement, but high precision is, variable length arithmetic...

Decimal floating-point (DFP) arithmetic refers to both a representation and operations on decimal floating-point numbers. Working directly with decimal...

provides support for converting between half-precision and standard IEEE single-precision floating-point formats. The CVT16 instruction set, announced by...

several specific formats, including MXFP8, MXFP6, MXFP4, and MXINT8. These formats support various precision levels: MXFP8: 8-bit floating-point with two variants...

ICD-10 code F32/T32 classification in paralympic sports Single-precision floating-point format, as it's known by its type annotation f32 in Rust. This disambiguation...

greater range and precision of real numbers, we have to abandon signed integers and fixed-point numbers and go to a "floating-point" format. In the decimal...

different measures of precision, for example, the TOP500 supercomputer list ranks computers by 64 bit (double-precision floating-point format) operations per...

In computing, minifloats are floating-point values represented with very few bits. This reduced precision makes them ill-suited for general-purpose numerical...

memory read and writes is reduced. Hopper features improved single-precision floating-point format (FP32) throughput with twice as many FP32 operations per...

precision or half-precision data in the IEEE floating-point format, and with a higher dynamic range than half-precision. An exponent value of 128 maps integer...

_{2}(m\times 2^{p})=p+\log _{2}(m)} So for a 32-bit single precision floating point number in IEEE format (where notably, the power has a bias of 127 added...