Examples of integer operation include data movement (A to B) or value testing (If A = B, then C). The unit MIPS measures integer performance of a computer. Floating-point operations are typically used in fields such as scientific computational research. Computational performanceР”Р‡LOPS and MIPS are units of measure for the numerical computing performance of a computer.

As such, floating-point processors are ideally suited for computationally intensive applications.

The exponentiation inherent in floating-point computation assures a much larger dynamic range РІР‚вЂњ the largest and smallest numbers that can be represented РІР‚вЂњ which is especially important when processing data sets where some of the data may have extremely large range of numerical values or where the range may be unpredictable. Floating-point representations can support a much wider range of values than fixed-point, with the ability to represent very small numbers and very large numbers. This standard defines the format for 32-bit numbers called single precision, as well as 64-bit numbers called double precision and longer numbers called extended precision (used for intermediate results). While several similar formats are in use, the most common is ANSI/IEEE Std. The encoding scheme stores the sign, the exponent (in base two for Cray and VAX, base two or ten for IEEE floating point formats, and base 16 for IBM Floating Point Architecture) and the Significand (number after the radix point). Floating-point representation is similar to scientific notation, except everything is carried out in base two, rather than base ten.

FLOPS per cycle per core for various processorsР”Р‡loating-point arithmetic is needed for very large or very small real numbers, or computations that require a large dynamic range.

For such cases, it is a more accurate measure than measuring instructions per second. In computing, floating point operations per second ( FLOPS, flops or flop/s) is a measure of computer performance, useful in fields of scientific computations that require floating-point calculations.

JSTOR ( February 2015) ( Learn how and when to remove this template message)Р”Р‡LOPS by the largest supercomputer over time.

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