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  2. C data types - Wikipedia

    en.wikipedia.org/wiki/C_data_types

    The element pc requires ten blocks of memory of the size of pointer to char (usually 40 or 80 bytes on common platforms), but element pa is only one pointer (size 4 or 8 bytes), and the data it refers to is an array of ten bytes (sizeof * pa == 10).

  3. Integer (computer science) - Wikipedia

    en.wikipedia.org/wiki/Integer_(computer_science)

    byte: tinyint: INTEGER [c] byte: i8: Unsigned: From 0 to 255, which equals 2 8 − 1 2.41 uint8_t, unsigned char [b] byte: Byteunsigned tinyint — ubyte: u8: 16 halfword, word, short, i16, u16 Signed: From −32,768 to 32,767, from −(2 15) to 2 15 − 1 4.52 UCS-2 characters, code units in the UTF-16 character encoding: int16_t, short ...

  4. Orders of magnitude (data) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude_(data)

    4.5 × 10 16 bits (5.625 petabytes) – estimated hard drive space in Google's server farm as of 2004 [citation needed] 2 56: 72,057,594,037,927,936 bits (8 pebibytes) 10 petabytes (10 16 bytes) – estimated approximate size of the Library of Congress's collection, including non-book materials, as of 2005. [8]

  5. 16-bit computing - Wikipedia

    en.wikipedia.org/wiki/16-bit_computing

    A common example is the Data General Nova, which was a 16-bit design that performed 16-bit math as a series of four 4-bit operations. 4-bits was the word size of a widely available single-chip ALU and thus allowed for inexpensive implementation. Using the definition being applied to the 68000, the Nova would be a 4-bit computer, or 4/16.

  6. KLV - Wikipedia

    en.wikipedia.org/wiki/KLV

    There are four kinds of encoding for the Length field: 1-byte, 2-byte, 4-byte and Basic Encoding Rules (BER). The 1-, 2-, and 4-byte variants are pretty straightforward: make an unsigned integer out of the bytes, and that integer is the number of bytes that follow. BER length encoding is a bit more complicated but the most flexible.

  7. Half-precision floating-point format - Wikipedia

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

    The advantage over 8-bit or 16-bit integers is that the increased dynamic range allows for more detail to be preserved in highlights and shadows for images, and avoids gamma correction. The advantage over 32-bit single-precision floating point is that it requires half the storage and bandwidth (at the expense of precision and range). [5]

  8. 128-bit computing - Wikipedia

    en.wikipedia.org/wiki/128-bit_computing

    A processor with 128-bit byte addressing could directly address up to 2 128 (over 3.40 × 10 38) bytes, which would greatly exceed the total data captured, created, or replicated on Earth as of 2018, which has been estimated to be around 33 zettabytes (over 2 74 bytes). [1] A 128-bit register can store 2 128 (over 3.40 × 10 38) different

  9. Bit numbering - Wikipedia

    en.wikipedia.org/wiki/Bit_numbering

    When the bit numbering starts at zero for the least significant bit (LSb) the numbering scheme is called LSb 0. [1] This bit numbering method has the advantage that for any unsigned number the value of the number can be calculated by using exponentiation with the bit number and a base of 2. [2] The value of an unsigned binary integer is therefore