Binary arithmetic | Floating point types

Half-precision floating-point format

In computing, half precision (sometimes called FP16) is a binary floating-point computer number format that occupies 16 bits (two bytes in modern computers) in computer memory. It is intended for storage of floating-point values in applications where higher precision is not essential, in particular image processing and neural networks. Almost all modern uses follow the IEEE 754-2008 standard, where the 16-bit base-2 format is referred to as binary16, and the exponent uses 5 bits. This can express values in the range ±65,504, with the minimum value above 1 being 1 + 1/1024. Depending on the computer, half-precision can be over an order of magnitude faster than double precision, e.g. 550 PFLOPS for half-precision vs 37 PFLOPS for double precision on one cloud provider. (Wikipedia).

Half-precision floating-point format
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Related pages

IEEE 754 | NaN | Exponent bias | Radix | Computer number format | Infinity | Sign bit | MATLAB | Neural network | Significand | Minifloat | IEEE 754-2008 | ISO/IEC 10967 | Primitive data type | Unit in the last place | Dynamic range | Bfloat16 floating-point format