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  2. LEB128 - Wikipedia

    en.wikipedia.org/wiki/LEB128

    Then zero extend the number up to a multiple of 7 bits (such that if the number is non-zero, the most significant 7 bits are not all 0). Break the number up into groups of 7 bits. Output one encoded byte for each 7 bit group, from least significant to most significant group. Each byte will have the group in its 7 least significant bits. Set the ...

  3. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    Exact-width integer types that are guaranteed to have the same number n of bits across all implementations. Included only if it is available in the implementation. Least-width integer types that are guaranteed to be the smallest type available in the implementation, that has at least specified number n of bits. Guaranteed to be specified for at ...

  4. Variable-length quantity - Wikipedia

    en.wikipedia.org/wiki/Variable-length_quantity

    A variable-length quantity (VLQ) is a universal code that uses an arbitrary number of binary octets (eight-bit bytes) to represent an arbitrarily large integer. A VLQ is essentially a base-128 representation of an unsigned integer with the addition of the eighth bit to mark continuation of bytes. VLQ is identical to LEB128 except in endianness ...

  5. 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:

  6. Library of Efficient Data types and Algorithms - Wikipedia

    en.wikipedia.org/wiki/Library_of_Efficient_Data...

    The bigfloat type improves on the C++ floating-point types by allowing for the significand (also commonly called mantissa) to be set to an arbitrary level of precision instead of following the IEEE standard. LEDA's real type allows for precise representations of real numbers, and can be used to compute the sign of a radical expression. [1]

  7. 128-bit computing - Wikipedia

    en.wikipedia.org/wiki/128-bit_computing

    ZFS is a 128-bit file system. 128 bits is a common key size for symmetric ciphers and a common block size for block ciphers in cryptography. The IBM i Machine Interface defines all pointers as 128-bit. The Machine Interface instructions are translated to the hardware's real instruction set as required, allowing the underlying hardware to change ...

  8. GNU Multiple Precision Arithmetic Library - Wikipedia

    en.wikipedia.org/wiki/GNU_Multiple_Precision...

    GNU Multiple Precision Arithmetic Library (GMP) is a free library for arbitrary-precision arithmetic, operating on signed integers, rational numbers, and floating-point numbers. [3] There are no practical limits to the precision except the ones implied by the available memory (operands may be of up to 2 32 −1 bits on 32-bit machines and 2 37 ...

  9. decimal128 floating-point format - Wikipedia

    en.wikipedia.org/wiki/Decimal128_floating-point...

    In computing, decimal128 is a decimal floating-point number format that occupies 128 bits in memory. Formally introduced in IEEE 754-2008, [1] it is intended for applications where it is necessary to emulate decimal rounding exactly, such as financial and tax computations. [2]