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  2. Microsoft Binary Format - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Binary_Format

    As an 8-bit exponent was not wide enough for some operations desired for double-precision numbers, e.g. to store the product of two 32-bit numbers, [1] Intel's proposal and a counter-proposal from DEC used 11 bits, like the time-tested 60-bit floating-point format of the CDC 6600 from 1965.

  3. Single-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Single-precision_floating...

    A floating-point variable can represent a wider range of numbers than a fixed-point variable of the same bit width at the cost of precision. A signed 32-bit integer variable has a maximum value of 2 31 − 1 = 2,147,483,647, whereas an IEEE 754 32-bit base-2 floating-point variable has a maximum value of (2 − 2 −23) × 2 127 ≈ 3.4028235 ...

  4. Portable Executable - Wikipedia

    en.wikipedia.org/wiki/Portable_Executable

    The Portable Executable (PE) format is a file format for executables, object code, dynamic-link-libraries (DLLs), and binary files used on 32-bit and 64-bit Windows operating systems, as well as in UEFI environments. [2]

  5. 32-bit computing - Wikipedia

    en.wikipedia.org/wiki/32-bit_computing

    A 32-bit register can store 2 32 different values. The range of integer values that can be stored in 32 bits depends on the integer representation used. With the two most common representations, the range is 0 through 4,294,967,295 (2 32 − 1) for representation as an binary number, and −2,147,483,648 (−2 31) through 2,147,483,647 (2 31 − 1) for representation as two's complement.

  6. TensorFloat-32 - Wikipedia

    en.wikipedia.org/wiki/TensorFloat-32

    The binary format is: 1 sign bit; 8 exponent bits; 10 fraction bits (also called mantissa, or precision bits) The total 19 bits fits within a double word (32 bits), and while it lacks precision compared with a normal 32 bit IEEE 754 floating point number, provides much faster computation, up to 8 times on a A100 (compared to a V100 using FP32).

  7. decimal32 floating-point format - Wikipedia

    en.wikipedia.org/.../Decimal32_floating-point_format

    The binary format with the same bit-size, binary32, has an approximate range from subnormal-minimum ±1 × 10 ^ −45 over normal-minimum with full 24-bit precision: ±1.175 494 4 × 10 ^ −38 to maximum ±3.402 823 5 × 10 ^ 38.

  8. Computer number format - Wikipedia

    en.wikipedia.org/wiki/Computer_number_format

    For instance, using a 32-bit format, 16 bits may be used for the integer and 16 for the fraction. The eight's bit is followed by the four's bit, then the two's bit, then the one's bit. The fractional bits continue the pattern set by the integer bits. The next bit is the half's bit, then the quarter's bit, then the ⅛'s bit, and so on. For example:

  9. IEEE 754-1985 - Wikipedia

    en.wikipedia.org/wiki/IEEE_754-1985

    The decimal number 0.15625 10 represented in binary is 0.00101 2 (that is, 1/8 + 1/32). (Subscripts indicate the number base .) Analogous to scientific notation , where numbers are written to have a single non-zero digit to the left of the decimal point, we rewrite this number so it has a single 1 bit to the left of the "binary point".