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

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

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

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...

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...

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)...

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

In computing, floating-point arithmetic (FP) is arithmetic that represents subsets of real numbers using an integer with a fixed precision, called the significand...

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

IEEE 754 standard. The standard defines: arithmetic formats: sets of binary and decimal floating-point data, which consist of finite numbers (including signed...

In computing, decimal64 is a decimal floating-point computer numbering format that occupies 8 bytes (64 bits) in computer memory. It is intended for applications...

figure skating jump Quadruple (computing), a term used as alternative for nibble in some contexts Quadruple-precision floating-point format in computing Multiple...

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...

In computing, decimal128 is a decimal floating-point number format that occupies 128 bits in memory. Formally introduced in IEEE 754-2008, it is intended...

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

IEEE 754 binary floating-point formats are used for float and double respectively. The C99 standard includes new real floating-point types float_t and...

Compilers may also use long double for the IEEE 754 quadruple-precision binary floating-point format (binary128). This is the case on HP-UX, Solaris/SPARC...

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

attaining quadruple precision in numerical analysis; see Quadruple-precision floating-point format The Double Double, in astronomy, the quadruple star system...

In computing, Microsoft Binary Format (MBF) is a format for floating-point numbers which was used in Microsoft's BASIC languages, including MBASIC, GW-BASIC...

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

"D" to signify double precision numbers in scientific notation, and newer Fortran compilers use "Q" to signify quadruple precision. The MATLAB programming...

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

digits) The maximum number that can fit in a 128-bit IEEE quadruple-precision floating-point format 2262,144 = 16,113,257,174,857,604,736,195,7...,753,862...

octuple-precision IEEE floating-point value. 1×10−6176 is equal to the smallest non-zero value that can be represented by a quadruple-precision IEEE decimal...

a floating-point number) which is undefined as a number, such as the result of 0/0. Systematic use of NaNs was introduced by the IEEE 754 floating-point...

delimited the value. Numbers can be stored in a fixed-point format, or in a floating-point format as a significand multiplied by an arbitrary exponent...

TensorFloat-32 or TF32 is a numeric floating point format designed for Tensor Core running on certain Nvidia GPUs. The binary format is: 1 sign bit 8 exponent bits...

in the IEEE binary floating point formats, but they do exist in some other formats, including the IEEE decimal floating point formats. Some systems handle...

higher precisions than the input samples. Digital signal processing (DSP) operations can be performed in either fixed-point or floating-point precision. In...