Floating point operations per second: Difference between revisions

Revision as of 08:26, 23 February 2025

Revision as of 18:12, 8 April 2025

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|10³⁰

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| !!!Past this is unofficial!!!

| N/A

| N/A

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| KiloquettaFLOPS

| kQFLOPS

| 10³³

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| MegaquettaFLOPS

| MQFLOPS

| 10³⁶

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[[Floating-point arithmetic]] is needed for very large or very small [[real number]]s, or computations that require a large dynamic range. Floating-point representation is similar to scientific notation, except computers use [[Binary number|base two]] (with rare exceptions), rather than [[Decimal|base ten]]. 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 hexadecimal floating-point|IBM Floating Point Architecture]]) and the [[significand]] (number after the [[radix point]]). While several similar formats are in use, the most common is [[IEEE 754-1985|ANSI/IEEE Std. 754-1985]]. 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). 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.<ref>[http://www.dspguide.com/ch4/3.htm Floating Point] Retrieved on December 25, 2009.</ref>