floating point unit - ορισμός. Τι είναι το floating point unit
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Τι (ποιος) είναι floating point unit - ορισμός

COPROCESSOR FOR FLOATING POINT ARITHMETIC
Floating Point Unit; Floating-Point Processor; Math coprocessor; Floating point processor; Floating-Point Unit; Floating point unit; Floating-point emulation; Floating point emulation; FP emulation; FP emulator; FPU emulation; FPU emulator; Floating-point emulator; Floating point emulator; Floating-point unit emulator; Floating point unit emulator; Floating-point unit emulation; Floating point unit emulation; Floating point software emulation; Floating-point software emulation; Floating point software emulator; Floating-point software emulator; FP software emulation; FP software emulator; Floating-point emulation software; Floating point emulation software; FP emulation software; Floating-point emulation software routine; Floating point emulation software routine; FP emulation software routine
  • 180px

Floating-point unit         
A floating-point unit (FPU, colloquially a math coprocessor) is a part of a computer system specially designed to carry out operations on floating-point numbers. Typical operations are addition, subtraction, multiplication, division, and square root.
Floating-Point Unit         
<hardware> (FPU) A floating-point accelerator, usually in a single integrated circuit, possible on the same IC as the central processing unit. (1994-10-27)
floating-point         
  • Single-precision floating-point numbers on a [[number line]]: the green lines mark representable values.
  • none
  • signs]] of representable values
  • Z3]] computer, which uses a 22-bit binary floating-point representation
  • [[Leonardo Torres y Quevedo]], who proposed a form of floating point in 1914
  • Fig. 1: resistances in parallel, with total resistance <math>R_{tot}</math>
COMPUTER FORMAT FOR REPRESENTING RATIONAL NUMBERS
Floating-point; Floating-point number; Floating point number; Hidden bit; Floating point type; Floating point numbers; Floating point arithmetic; Floating-point error; Floating point value; Numeric (data type); Floating point error; Floating-point math; Float (computing); Floating point exception; Floating-Point; Finite precision arithmetics; Floating-point numbers; Floating decimal point; Floating point format; Floating-point format; Floating point representation; Floating-point representation; Floating-point arithmetics; Floating point arithmetics; Floating point; Binary floating point; Assumed bit; Implicit bit; Assumed bit (floating point); Hidden bit (floating point); Implicit bit (floating point); Leading bit (floating point); Implicit leading bit (floating point); Implicit leading bit; Implicit leading bit convention; Assumed bit convention; Leading bit convention; Implicit bit convention; Hidden bit convention; Hidden bit rule; Implicit bit rule; Implicit leading bit rule; Assumed bit rule; Leading bit rule; Binary floating-point; Octal floating point; Octal floating-point; Binary floating-point arithmetic; Binary floating-point number; Octal floating-point number; Octal floating-point arithmetic; Base 2 floating point; Base-2 floating point; Radix-2 floating point; Radix 2 floating point; Base 8 floating point; Base-8 floating point; Radix-8 floating point; Radix 8 floating point; Binary512; Radix 65536 floating point; Radix-65536 floating point; Base 65536 floating point; Base-65536 floating point; Base-256 floating point; Quaternary floating point; Base 256 floating point; Radix 256 floating point; Radix-256 floating point; Base 4 floating point; Base-4 floating point; Radix 4 floating point; Radix-4 floating point; Binary floating point number; Representable floating-point number; Fast math; Floating point math; Binary floating-point number system; Binary floating point number system; Binary floating point numbering system; Binary floating-point numbering system
<programming, mathematics> A number representation consisting of a mantissa, M, an exponent, E, and a radix (or "base"). The number represented is M*R^E where R is the radix. In science and engineering, exponential notation or scientific notation uses a radix of ten so, for example, the number 93,000,000 might be written 9.3 x 10^7 (where ^7 is superscript 7). In computer hardware, floating point numbers are usually represented with a radix of two since the mantissa and exponent are stored in binary, though many different representations could be used. The IEEE specify a standard representation which is used by many hardware floating-point systems. Non-zero numbers are normalised so that the binary point is immediately before the most significant bit of the mantissa. Since the number is non-zero, this bit must be a one so it need not be stored. A fixed "bias" is added to the exponent so that positive and negative exponents can be represented without a sign bit. Finally, extreme values of exponent (all zeros and all ones) are used to represent special numbers like zero and positive and negative infinity. In programming languages with explicit typing, floating-point types are introduced with the keyword "float" or sometimes "double" for a higher precision type. See also floating-point accelerator, floating-point unit. Opposite: fixed-point. (2008-06-13)

Βικιπαίδεια

Floating-point unit

A floating-point unit (FPU, colloquially a math coprocessor) is a part of a computer system specially designed to carry out operations on floating-point numbers. Typical operations are addition, subtraction, multiplication, division, and square root. Some FPUs can also perform various transcendental functions such as exponential or trigonometric calculations, but the accuracy can be very low, so that some systems prefer to compute these functions in software.

In general-purpose computer architectures, one or more FPUs may be integrated as execution units within the central processing unit; however, many embedded processors do not have hardware support for floating-point operations (while they increasingly have them as standard, at least 32-bit ones).

When a CPU is executing a program that calls for a floating-point operation, there are three ways to carry it out:

  • A floating-point unit emulator (a floating-point library)
  • Add-on FPU
  • Integrated FPU