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floating-point

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(programming, mathematics)floating-point - 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.

See also floating-point accelerator, floating-point unit.

Opposite: fixed-point.


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9 Papers from a June 2009 symposium are presented here, in sections on algorithms and number systems, arithmetic hardware, finite fields and cryptography, mathematical software, decimal hardware, floating-point techniques, decimal transcendents, automated synthesis of arithmetic operations, decimal arithmetic in industry, and interval arithmetic.
Lonestar is a Dell Linux cluster with 5,840 processing cores and can perform 62 trillion floating-point operations per second.
Treating this topic requires discussing integer and floating-point number representations and inaccuracies that may result from their use.
 
 
 
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