floating point operations per second (FLOPS, flops or flop/s)
It is arithmetic using formulaic representation of real numbers as an approximation to support a trade-off between range and precision.
A number is, in general, represented approximately to a fixed number of significant digits (the significand) and scaled using an exponent in some fixed base; the base for the scaling is normally two, ten, or sixteen. A number that can be represented exactly is of the following form:
where significand is an integer, base is an integergreater than or equal to two, and exponent is also an integer. For example:
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 anywhererelative to the significant digits of the number. This position is indicated as the exponent component, and thus the floating-point representation can be thought of as a kind of scientific notation.
Floating - point
Single-precision
Double-precision
floating point operations per second (FLOPS, flops or flop/s)It is arithmetic using formulaic representation of real numbers as an approximation to support a trade-off between range and precision.
A number is, in general, represented approximately to a fixed number of significant digits (the significand) and scaled using an exponent in some fixed base; the base for the scaling is normally two, ten, or sixteen. A number that can be represented exactly is of the following form:
where
significandis aninteger,baseis anintegergreater than or equal to two, andexponentis also aninteger. For example:The term
floating pointrefers to the fact that a number's radix point (decimal point, or, more commonly in computers, binary point) can"float"; that is, it can beplaced anywhererelative to the significant digitsof the number. This position is indicated as the exponent component, and thus the floating-point representation can be thought of as a kind of scientific notation.浮点指的是带有小数的数值，浮点运算即是小数的四则运算，常用来测量电脑运算速度。大部份计算机采用二進制（b=2）的表示方法。
位（bit）是衡量浮点数所需存储空间的单位，通常为32位或64位，分别被叫作单精度和双精度。
Reference
[1] https://en.wikipedia.org/wiki/Floating-point_arithmetic [2] https://en.wikipedia.org/wiki/Single-precision_floating-point_format [3] https://en.wikipedia.org/wiki/Double-precision_floating-point_format