How many bytes in word

On x86/x64 processors, a byte is 8 bits, and there are 256 possible binary states in 8 bits, 0 thru 255. This is how the OS translates your keyboard key strokes into letters on the screen. When you press the ‘A‘ key, the keyboard sends a binary signal equal to the number 97 to the computer, and the computer prints a lowercase ‘a‘ on the screen. You can confirm this in any Windows text editing software by holding an ALT key, typing 97 on the NUMPAD, then releasing the ALT key. If you replace ’97’ with any number from 0 to 255, you will see the character associated with that number on the system’s character code page printed on the screen.

If a character is 8 bits, or 1 byte, then a WORD must be at least 2 characters, so 16 bits or 2 bytes. Traditionally, you might think of a word as a varying number of characters, but in a computer, everything that is calculable is based on static rules. Besides, a computer doesn’t know what letters and symbols are, it only knows how to count numbers. So, in computer language, if a WORD is equal to 2 characters, then a double-word, or DWORD, is 2 WORDs, which is the same as 4 characters or bytes, which is equal to 32 bits. Furthermore, a quad-word, or QWORD, is 2 DWORDs, same as 4 WORDs, 8 characters, or 64 bits.

Note that these terms are limited in function to the Windows API for developers, but may appear in other circumstances (eg. the Linux dd command uses numerical suffixes to compound byte and block sizes, where c is 1 byte and w is bytes).

From Wikipedia, the free encyclopedia

In computing, a word is the natural unit of data used by a particular processor design. A word is a fixed-sized datum handled as a unit by the instruction set or the hardware of the processor. The number of bits or digits[a] in a word (the word size, word width, or word length) is an important characteristic of any specific processor design or computer architecture.

The size of a word is reflected in many aspects of a computer’s structure and operation; the majority of the registers in a processor are usually word-sized and the largest datum that can be transferred to and from the working memory in a single operation is a word in many (not all) architectures. The largest possible address size, used to designate a location in memory, is typically a hardware word (here, «hardware word» means the full-sized natural word of the processor, as opposed to any other definition used).

Documentation for older computers with fixed word size commonly states memory sizes in words rather than bytes or characters. The documentation sometimes uses metric prefixes correctly, sometimes with rounding, e.g., 65 kilowords (KW) meaning for 65536 words, and sometimes uses them incorrectly, with kilowords (KW) meaning 1024 words (210) and megawords (MW) meaning 1,048,576 words (220). With standardization on 8-bit bytes and byte addressability, stating memory sizes in bytes, kilobytes, and megabytes with powers of 1024 rather than 1000 has become the norm, although there is some use of the IEC binary prefixes.

Several of the earliest computers (and a few modern as well) use binary-coded decimal rather than plain binary, typically having a word size of 10 or 12 decimal digits, and some early decimal computers have no fixed word length at all. Early binary systems tended to use word lengths that were some multiple of 6-bits, with the 36-bit word being especially common on mainframe computers. The introduction of ASCII led to the move to systems with word lengths that were a multiple of 8-bits, with 16-bit machines being popular in the 1970s before the move to modern processors with 32 or 64 bits.[1] Special-purpose designs like digital signal processors, may have any word length from 4 to 80 bits.[1]

The size of a word can sometimes differ from the expected due to backward compatibility with earlier computers. If multiple compatible variations or a family of processors share a common architecture and instruction set but differ in their word sizes, their documentation and software may become notationally complex to accommodate the difference (see Size families below).

Uses of words[edit]

Depending on how a computer is organized, word-size units may be used for:

Fixed-point numbers
Holders for fixed point, usually integer, numerical values may be available in one or in several different sizes, but one of the sizes available will almost always be the word. The other sizes, if any, are likely to be multiples or fractions of the word size. The smaller sizes are normally used only for efficient use of memory; when loaded into the processor, their values usually go into a larger, word sized holder.
Floating-point numbers
Holders for floating-point numerical values are typically either a word or a multiple of a word.
Addresses
Holders for memory addresses must be of a size capable of expressing the needed range of values but not be excessively large, so often the size used is the word though it can also be a multiple or fraction of the word size.
Registers
Processor registers are designed with a size appropriate for the type of data they hold, e.g. integers, floating-point numbers, or addresses. Many computer architectures use general-purpose registers that are capable of storing data in multiple representations.
Memory–processor transfer
When the processor reads from the memory subsystem into a register or writes a register’s value to memory, the amount of data transferred is often a word. Historically, this amount of bits which could be transferred in one cycle was also called a catena in some environments (such as the Bull GAMMA 60 [fr]).[2][3] In simple memory subsystems, the word is transferred over the memory data bus, which typically has a width of a word or half-word. In memory subsystems that use caches, the word-sized transfer is the one between the processor and the first level of cache; at lower levels of the memory hierarchy larger transfers (which are a multiple of the word size) are normally used.
Unit of address resolution
In a given architecture, successive address values designate successive units of memory; this unit is the unit of address resolution. In most computers, the unit is either a character (e.g. a byte) or a word. (A few computers have used bit resolution.) If the unit is a word, then a larger amount of memory can be accessed using an address of a given size at the cost of added complexity to access individual characters. On the other hand, if the unit is a byte, then individual characters can be addressed (i.e. selected during the memory operation).
Instructions
Machine instructions are normally the size of the architecture’s word, such as in RISC architectures, or a multiple of the «char» size that is a fraction of it. This is a natural choice since instructions and data usually share the same memory subsystem. In Harvard architectures the word sizes of instructions and data need not be related, as instructions and data are stored in different memories; for example, the processor in the 1ESS electronic telephone switch has 37-bit instructions and 23-bit data words.

Word size choice[edit]

When a computer architecture is designed, the choice of a word size is of substantial importance. There are design considerations which encourage particular bit-group sizes for particular uses (e.g. for addresses), and these considerations point to different sizes for different uses. However, considerations of economy in design strongly push for one size, or a very few sizes related by multiples or fractions (submultiples) to a primary size. That preferred size becomes the word size of the architecture.

Character size was in the past (pre-variable-sized character encoding) one of the influences on unit of address resolution and the choice of word size. Before the mid-1960s, characters were most often stored in six bits; this allowed no more than 64 characters, so the alphabet was limited to upper case. Since it is efficient in time and space to have the word size be a multiple of the character size, word sizes in this period were usually multiples of 6 bits (in binary machines). A common choice then was the 36-bit word, which is also a good size for the numeric properties of a floating point format.

After the introduction of the IBM System/360 design, which uses eight-bit characters and supports lower-case letters, the standard size of a character (or more accurately, a byte) becomes eight bits. Word sizes thereafter are naturally multiples of eight bits, with 16, 32, and 64 bits being commonly used.

Variable-word architectures[edit]

Early machine designs included some that used what is often termed a variable word length. In this type of organization, an operand has no fixed length. Depending on the machine and the instruction, the length might be denoted by a count field, by a delimiting character, or by an additional bit called, e.g., flag, or word mark. Such machines often use binary-coded decimal in 4-bit digits, or in 6-bit characters, for numbers. This class of machines includes the IBM 702, IBM 705, IBM 7080, IBM 7010, UNIVAC 1050, IBM 1401, IBM 1620, and RCA 301.

Most of these machines work on one unit of memory at a time and since each instruction or datum is several units long, each instruction takes several cycles just to access memory. These machines are often quite slow because of this. For example, instruction fetches on an IBM 1620 Model I take 8 cycles (160 μs) just to read the 12 digits of the instruction (the Model II reduced this to 6 cycles, or 4 cycles if the instruction did not need both address fields). Instruction execution takes a variable number of cycles, depending on the size of the operands.

Word, bit and byte addressing[edit]

The memory model of an architecture is strongly influenced by the word size. In particular, the resolution of a memory address, that is, the smallest unit that can be designated by an address, has often been chosen to be the word. In this approach, the word-addressable machine approach, address values which differ by one designate adjacent memory words. This is natural in machines which deal almost always in word (or multiple-word) units, and has the advantage of allowing instructions to use minimally sized fields to contain addresses, which can permit a smaller instruction size or a larger variety of instructions.

When byte processing is to be a significant part of the workload, it is usually more advantageous to use the byte, rather than the word, as the unit of address resolution. Address values which differ by one designate adjacent bytes in memory. This allows an arbitrary character within a character string to be addressed straightforwardly. A word can still be addressed, but the address to be used requires a few more bits than the word-resolution alternative. The word size needs to be an integer multiple of the character size in this organization. This addressing approach was used in the IBM 360, and has been the most common approach in machines designed since then.

When the workload involves processing fields of different sizes, it can be advantageous to address to the bit. Machines with bit addressing may have some instructions that use a programmer-defined byte size and other instructions that operate on fixed data sizes. As an example, on the IBM 7030[4] («Stretch»), a floating point instruction can only address words while an integer arithmetic instruction can specify a field length of 1-64 bits, a byte size of 1-8 bits and an accumulator offset of 0-127 bits.

In a byte-addressable machine with storage-to-storage (SS) instructions, there are typically move instructions to copy one or multiple bytes from one arbitrary location to another. In a byte-oriented (byte-addressable) machine without SS instructions, moving a single byte from one arbitrary location to another is typically:

  1. LOAD the source byte
  2. STORE the result back in the target byte

Individual bytes can be accessed on a word-oriented machine in one of two ways. Bytes can be manipulated by a combination of shift and mask operations in registers. Moving a single byte from one arbitrary location to another may require the equivalent of the following:

  1. LOAD the word containing the source byte
  2. SHIFT the source word to align the desired byte to the correct position in the target word
  3. AND the source word with a mask to zero out all but the desired bits
  4. LOAD the word containing the target byte
  5. AND the target word with a mask to zero out the target byte
  6. OR the registers containing the source and target words to insert the source byte
  7. STORE the result back in the target location

Alternatively many word-oriented machines implement byte operations with instructions using special byte pointers in registers or memory. For example, the PDP-10 byte pointer contained the size of the byte in bits (allowing different-sized bytes to be accessed), the bit position of the byte within the word, and the word address of the data. Instructions could automatically adjust the pointer to the next byte on, for example, load and deposit (store) operations.

Powers of two[edit]

Different amounts of memory are used to store data values with different degrees of precision. The commonly used sizes are usually a power of two multiple of the unit of address resolution (byte or word). Converting the index of an item in an array into the memory address offset of the item then requires only a shift operation rather than a multiplication. In some cases this relationship can also avoid the use of division operations. As a result, most modern computer designs have word sizes (and other operand sizes) that are a power of two times the size of a byte.

Size families[edit]

As computer designs have grown more complex, the central importance of a single word size to an architecture has decreased. Although more capable hardware can use a wider variety of sizes of data, market forces exert pressure to maintain backward compatibility while extending processor capability. As a result, what might have been the central word size in a fresh design has to coexist as an alternative size to the original word size in a backward compatible design. The original word size remains available in future designs, forming the basis of a size family.

In the mid-1970s, DEC designed the VAX to be a 32-bit successor of the 16-bit PDP-11. They used word for a 16-bit quantity, while longword referred to a 32-bit quantity; this terminology is the same as the terminology used for the PDP-11. This was in contrast to earlier machines, where the natural unit of addressing memory would be called a word, while a quantity that is one half a word would be called a halfword. In fitting with this scheme, a VAX quadword is 64 bits. They continued this 16-bit word/32-bit longword/64-bit quadword terminology with the 64-bit Alpha.

Another example is the x86 family, of which processors of three different word lengths (16-bit, later 32- and 64-bit) have been released, while word continues to designate a 16-bit quantity. As software is routinely ported from one word-length to the next, some APIs and documentation define or refer to an older (and thus shorter) word-length than the full word length on the CPU that software may be compiled for. Also, similar to how bytes are used for small numbers in many programs, a shorter word (16 or 32 bits) may be used in contexts where the range of a wider word is not needed (especially where this can save considerable stack space or cache memory space). For example, Microsoft’s Windows API maintains the programming language definition of WORD as 16 bits, despite the fact that the API may be used on a 32- or 64-bit x86 processor, where the standard word size would be 32 or 64 bits, respectively. Data structures containing such different sized words refer to them as:

  • WORD (16 bits/2 bytes)
  • DWORD (32 bits/4 bytes)
  • QWORD (64 bits/8 bytes)

A similar phenomenon has developed in Intel’s x86 assembly language – because of the support for various sizes (and backward compatibility) in the instruction set, some instruction mnemonics carry «d» or «q» identifiers denoting «double-«, «quad-» or «double-quad-«, which are in terms of the architecture’s original 16-bit word size.

An example with a different word size is the IBM System/360 family. In the System/360 architecture, System/370 architecture and System/390 architecture, there are 8-bit bytes, 16-bit halfwords, 32-bit words and 64-bit doublewords. The z/Architecture, which is the 64-bit member of that architecture family, continues to refer to 16-bit halfwords, 32-bit words, and 64-bit doublewords, and additionally features 128-bit quadwords.

In general, new processors must use the same data word lengths and virtual address widths as an older processor to have binary compatibility with that older processor.

Often carefully written source code – written with source-code compatibility and software portability in mind – can be recompiled to run on a variety of processors, even ones with different data word lengths or different address widths or both.

Table of word sizes[edit]

key: bit: bits, c: characters, d: decimal digits, w: word size of architecture, n: variable size, wm: Word mark
Year Computer
architecture
Word size w Integer
sizes
Floating­point
sizes
Instruction
sizes
Unit of address
resolution
Char size
1837 Babbage
Analytical engine
50 d w Five different cards were used for different functions, exact size of cards not known. w
1941 Zuse Z3 22 bit w 8 bit w
1942 ABC 50 bit w
1944 Harvard Mark I 23 d w 24 bit
1946
(1948)
{1953}
ENIAC
(w/Panel #16[5])
{w/Panel #26[6]}
10 d w, 2w
(w)
{w}

(2 d, 4 d, 6 d, 8 d)
{2 d, 4 d, 6 d, 8 d}


{w}
1948 Manchester Baby 32 bit w w w
1951 UNIVAC I 12 d w 12w w 1 d
1952 IAS machine 40 bit w 12w w 5 bit
1952 Fast Universal Digital Computer M-2 34 bit w? w 34 bit = 4-bit opcode plus 3×10 bit address 10 bit
1952 IBM 701 36 bit 12w, w 12w 12w, w 6 bit
1952 UNIVAC 60 n d 1 d, … 10 d 2 d, 3 d
1952 ARRA I 30 bit w w w 5 bit
1953 IBM 702 n c 0 c, … 511 c 5 c c 6 bit
1953 UNIVAC 120 n d 1 d, … 10 d 2 d, 3 d
1953 ARRA II 30 bit w 2w 12w w 5 bit
1954
(1955)
IBM 650
(w/IBM 653)
10 d w
(w)
w w 2 d
1954 IBM 704 36 bit w w w w 6 bit
1954 IBM 705 n c 0 c, … 255 c 5 c c 6 bit
1954 IBM NORC 16 d w w, 2w w w
1956 IBM 305 n d 1 d, … 100 d 10 d d 1 d
1956 ARMAC 34 bit w w 12w w 5 bit, 6 bit
1956 LGP-30 31 bit w 16 bit w 6 bit
1957 Autonetics Recomp I 40 bit w, 79 bit, 8 d, 15 d 12w 12w, w 5 bit
1958 UNIVAC II 12 d w 12w w 1 d
1958 SAGE 32 bit 12w w w 6 bit
1958 Autonetics Recomp II 40 bit w, 79 bit, 8 d, 15 d 2w 12w 12w, w 5 bit
1958 Setun 6 trit (~9.5 bits)[b] up to 6 tryte up to 3 trytes 4 trit?
1958 Electrologica X1 27 bit w 2w w w 5 bit, 6 bit
1959 IBM 1401 n c 1 c, … 1 c, 2 c, 4 c, 5 c, 7 c, 8 c c 6 bit + wm
1959
(TBD)
IBM 1620 n d 2 d, …
(4 d, … 102 d)
12 d d 2 d
1960 LARC 12 d w, 2w w, 2w w w 2 d
1960 CDC 1604 48 bit w w 12w w 6 bit
1960 IBM 1410 n c 1 c, … 1 c, 2 c, 6 c, 7 c, 11 c, 12 c c 6 bit + wm
1960 IBM 7070 10 d[c] w, 1-9 d w w w, d 2 d
1960 PDP-1 18 bit w w w 6 bit
1960 Elliott 803 39 bit
1961 IBM 7030
(Stretch)
64 bit 1 bit, … 64 bit,
1 d, … 16 d
w 12w, w bit (integer),
12w (branch),
w (float)
1 bit, … 8 bit
1961 IBM 7080 n c 0 c, … 255 c 5 c c 6 bit
1962 GE-6xx 36 bit w, 2 w w, 2 w, 80 bit w w 6 bit, 9 bit
1962 UNIVAC III 25 bit w, 2w, 3w, 4w, 6 d, 12 d w w 6 bit
1962 Autonetics D-17B
Minuteman I Guidance Computer
27 bit 11 bit, 24 bit 24 bit w
1962 UNIVAC 1107 36 bit 16w, 13w, 12w, w w w w 6 bit
1962 IBM 7010 n c 1 c, … 1 c, 2 c, 6 c, 7 c, 11 c, 12 c c 6 b + wm
1962 IBM 7094 36 bit w w, 2w w w 6 bit
1962 SDS 9 Series 24 bit w 2w w w
1963
(1966)
Apollo Guidance Computer 15 bit w w, 2w w
1963 Saturn Launch Vehicle Digital Computer 26 bit w 13 bit w
1964/1966 PDP-6/PDP-10 36 bit w w, 2 w w w 6 bit
7 bit (typical)
9 bit
1964 Titan 48 bit w w w w w
1964 CDC 6600 60 bit w w 14w, 12w w 6 bit
1964 Autonetics D-37C
Minuteman II Guidance Computer
27 bit 11 bit, 24 bit 24 bit w 4 bit, 5 bit
1965 Gemini Guidance Computer 39 bit 26 bit 13 bit 13 bit, 26 —bit
1965 IBM 1130 16 bit w, 2w 2w, 3w w, 2w w 8 bit
1965 IBM System/360 32 bit 12w, w,
1 d, … 16 d
w, 2w 12w, w, 112w 8 bit 8 bit
1965 UNIVAC 1108 36 bit 16w, 14w, 13w, 12w, w, 2w w, 2w w w 6 bit, 9 bit
1965 PDP-8 12 bit w w w 8 bit
1965 Electrologica X8 27 bit w 2w w w 6 bit, 7 bit
1966 SDS Sigma 7 32 bit 12w, w w, 2w w 8 bit 8 bit
1969 Four-Phase Systems AL1 8 bit w ? ? ?
1970 MP944 20 bit w ? ? ?
1970 PDP-11 16 bit w 2w, 4w w, 2w, 3w 8 bit 8 bit
1971 CDC STAR-100 64 bit 12w, w 12w, w 12w, w bit 8 bit
1971 TMS1802NC 4 bit w ? ?
1971 Intel 4004 4 bit w, d 2w, 4w w
1972 Intel 8008 8 bit w, 2 d w, 2w, 3w w 8 bit
1972 Calcomp 900 9 bit w w, 2w w 8 bit
1974 Intel 8080 8 bit w, 2w, 2 d w, 2w, 3w w 8 bit
1975 ILLIAC IV 64 bit w w, 12w w w
1975 Motorola 6800 8 bit w, 2 d w, 2w, 3w w 8 bit
1975 MOS Tech. 6501
MOS Tech. 6502
8 bit w, 2 d w, 2w, 3w w 8 bit
1976 Cray-1 64 bit 24 bit, w w 14w, 12w w 8 bit
1976 Zilog Z80 8 bit w, 2w, 2 d w, 2w, 3w, 4w, 5w w 8 bit
1978
(1980)
16-bit x86 (Intel 8086)
(w/floating point: Intel 8087)
16 bit 12w, w, 2 d
(2w, 4w, 5w, 17 d)
12w, w, … 7w 8 bit 8 bit
1978 VAX 32 bit 14w, 12w, w, 1 d, … 31 d, 1 bit, … 32 bit w, 2w 14w, … 1414w 8 bit 8 bit
1979
(1984)
Motorola 68000 series
(w/floating point)
32 bit 14w, 12w, w, 2 d
(w, 2w, 212w)
12w, w, … 712w 8 bit 8 bit
1985 IA-32 (Intel 80386) (w/floating point) 32 bit 14w, 12w, w
(w, 2w, 80 bit)
8 bit, … 120 bit
14w … 334w
8 bit 8 bit
1985 ARMv1 32 bit 14w, w w 8 bit 8 bit
1985 MIPS I 32 bit 14w, 12w, w w, 2w w 8 bit 8 bit
1991 Cray C90 64 bit 32 bit, w w 14w, 12w, 48 bit w 8 bit
1992 Alpha 64 bit 8 bit, 14w, 12w, w 12w, w 12w 8 bit 8 bit
1992 PowerPC 32 bit 14w, 12w, w w, 2w w 8 bit 8 bit
1996 ARMv4
(w/Thumb)
32 bit 14w, 12w, w w
(12w, w)
8 bit 8 bit
2000 IBM z/Architecture
(w/vector facility)
64 bit 14w, 12w, w
1 d, … 31 d
12w, w, 2w 14w, 12w, 34w 8 bit 8 bit, UTF-16, UTF-32
2001 IA-64 64 bit 8 bit, 14w, 12w, w 12w, w 41 bit (in 128-bit bundles)[7] 8 bit 8 bit
2001 ARMv6
(w/VFP)
32 bit 8 bit, 12w, w
(w, 2w)
12w, w 8 bit 8 bit
2003 x86-64 64 bit 8 bit, 14w, 12w, w 12w, w, 80 bit 8 bit, … 120 bit 8 bit 8 bit
2013 ARMv8-A and ARMv9-A 64 bit 8 bit, 14w, 12w, w 12w, w 12w 8 bit 8 bit
Year Computer
architecture
Word size w Integer
sizes
Floating­point
sizes
Instruction
sizes
Unit of address
resolution
Char size
key: bit: bits, d: decimal digits, w: word size of architecture, n: variable size

[8][9]

See also[edit]

  • Integer (computer science)

Notes[edit]

  1. ^ Many early computers were decimal, and a few were ternary
  2. ^ The bit equivalent is computed by taking the amount of information entropy provided by the trit, which is log _{2}(3). This gives an equivalent of about 9.51 bits for 6 trits.
  3. ^ Three-state sign

References[edit]

  1. ^ a b Beebe, Nelson H. F. (2017-08-22). «Chapter I. Integer arithmetic». The Mathematical-Function Computation Handbook — Programming Using the MathCW Portable Software Library (1 ed.). Salt Lake City, UT, USA: Springer International Publishing AG. p. 970. doi:10.1007/978-3-319-64110-2. ISBN 978-3-319-64109-6. LCCN 2017947446. S2CID 30244721.
  2. ^ Dreyfus, Phillippe (1958-05-08) [1958-05-06]. Written at Los Angeles, California, USA. System design of the Gamma 60 (PDF). Western Joint Computer Conference: Contrasts in Computers. ACM, New York, NY, USA. pp. 130–133. IRE-ACM-AIEE ’58 (Western). Archived (PDF) from the original on 2017-04-03. Retrieved 2017-04-03. […] Internal data code is used: Quantitative (numerical) data are coded in a 4-bit decimal code; qualitative (alpha-numerical) data are coded in a 6-bit alphanumerical code. The internal instruction code means that the instructions are coded in straight binary code.
    As to the internal information length, the information quantum is called a «catena,» and it is composed of 24 bits representing either 6 decimal digits, or 4 alphanumerical characters. This quantum must contain a multiple of 4 and 6 bits to represent a whole number of decimal or alphanumeric characters. Twenty-four bits was found to be a good compromise between the minimum 12 bits, which would lead to a too-low transfer flow from a parallel readout core memory, and 36 bits or more, which was judged as too large an information quantum. The catena is to be considered as the equivalent of a character in variable word length machines, but it cannot be called so, as it may contain several characters. It is transferred in series to and from the main memory.
    Not wanting to call a «quantum» a word, or a set of characters a letter, (a word is a word, and a quantum is something else), a new word was made, and it was called a «catena.» It is an English word and exists in Webster’s although it does not in French. Webster’s definition of the word catena is, «a connected series;» therefore, a 24-bit information item. The word catena will be used hereafter.
    The internal code, therefore, has been defined. Now what are the external data codes? These depend primarily upon the information handling device involved. The Gamma 60 [fr] is designed to handle information relevant to any binary coded structure. Thus an 80-column punched card is considered as a 960-bit information item; 12 rows multiplied by 80 columns equals 960 possible punches; is stored as an exact image in 960 magnetic cores of the main memory with 2 card columns occupying one catena. […]
  3. ^ Blaauw, Gerrit Anne; Brooks, Jr., Frederick Phillips; Buchholz, Werner (1962). «4: Natural Data Units» (PDF). In Buchholz, Werner (ed.). Planning a Computer System – Project Stretch. McGraw-Hill Book Company, Inc. / The Maple Press Company, York, PA. pp. 39–40. LCCN 61-10466. Archived (PDF) from the original on 2017-04-03. Retrieved 2017-04-03. […] Terms used here to describe the structure imposed by the machine design, in addition to bit, are listed below.
    Byte denotes a group of bits used to encode a character, or the number of bits transmitted in parallel to and from input-output units. A term other than character is used here because a given character may be represented in different applications by more than one code, and different codes may use different numbers of bits (i.e., different byte sizes). In input-output transmission the grouping of bits may be completely arbitrary and have no relation to actual characters. (The term is coined from bite, but respelled to avoid accidental mutation to bit.)
    A word consists of the number of data bits transmitted in parallel from or to memory in one memory cycle. Word size is thus defined as a structural property of the memory. (The term catena was coined for this purpose by the designers of the Bull GAMMA 60 [fr] computer.)
    Block refers to the number of words transmitted to or from an input-output unit in response to a single input-output instruction. Block size is a structural property of an input-output unit; it may have been fixed by the design or left to be varied by the program. […]
  4. ^ «Format» (PDF). Reference Manual 7030 Data Processing System (PDF). IBM. August 1961. pp. 50–57. Retrieved 2021-12-15.
  5. ^ Clippinger, Richard F. [in German] (1948-09-29). «A Logical Coding System Applied to the ENIAC (Electronic Numerical Integrator and Computer)». Aberdeen Proving Ground, Maryland, US: Ballistic Research Laboratories. Report No. 673; Project No. TB3-0007 of the Research and Development Division, Ordnance Department. Retrieved 2017-04-05.{{cite web}}: CS1 maint: url-status (link)
  6. ^ Clippinger, Richard F. [in German] (1948-09-29). «A Logical Coding System Applied to the ENIAC». Aberdeen Proving Ground, Maryland, US: Ballistic Research Laboratories. Section VIII: Modified ENIAC. Retrieved 2017-04-05.{{cite web}}: CS1 maint: url-status (link)
  7. ^ «4. Instruction Formats» (PDF). Intel Itanium Architecture Software Developer’s Manual. Vol. 3: Intel Itanium Instruction Set Reference. p. 3:293. Retrieved 2022-04-25. Three instructions are grouped together into 128-bit sized and aligned containers called bundles. Each bundle contains three 41-bit instruction slots and a 5-bit template field.
  8. ^ Blaauw, Gerrit Anne; Brooks, Jr., Frederick Phillips (1997). Computer Architecture: Concepts and Evolution (1 ed.). Addison-Wesley. ISBN 0-201-10557-8. (1213 pages) (NB. This is a single-volume edition. This work was also available in a two-volume version.)
  9. ^ Ralston, Anthony; Reilly, Edwin D. (1993). Encyclopedia of Computer Science (3rd ed.). Van Nostrand Reinhold. ISBN 0-442-27679-6.

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1 word = 2 byte [B]

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RAID

Data Redundancy

To prevent loss of data, some storage techniques include data redundancy, a practice of duplicating some or all of the data in several storage locations, so that if it is lost or corrupted in one location, it can still be accessed in another. One data redundancy solution uses a redundant array of independent disks (RAID) which stores duplicates of the data or distributes the data on two or more disks working as one logical unit. Sometimes the RAID group is duplicated for extra protection from failure. Duplicated disks can be stored in a different geographical location, to ensure the protection of the data in case of physical destruction of the RAID unit in time of disaster.

Data Storage Formats

Storage Hierarchy

Data is processed in the central processing unit (CPU) of the computer, and the closer it is to the CPU, the faster it can be accessed. This access speed also depends on the type of storage that is in use. The space close to the CPU is limited, and generally, the faster but smaller storage mechanisms are placed closer to the CPU, while the slower but larger ones are fаrther away. For example, a register inside the processor is extremely small, but can be accessed in one CPU cycle, which could be as fast as several billionths of a second. These speeds constantly improve with technological developments in the field.

Memory card

Memory card

Primary Storage

Primary storage consists of internal memory within the CPU, including cache memory and the registers. These are the fastest-accessible memory units. Main memory is also part of the primary storage. The main memory includes random access memory, RAM. It is much slower than the registers, but has greater storage capacity. This storage is accessed by the CPU directly. It is used actively while the computer is in operation. Data that has to be accessed continuously for the current programs to operate is stored there.

Secondary Storage

Secondary storage encompasses online mass storage devices. This means that the devices are inside the computer, such as the hard disk drive. It is used for storing data that does not need to be accessed as often. Secondary storage is more permanent than primary storage. It is also slower.

Offline Storage

Offline storage is often included in the secondary storage classification, and it encompasses removable data storage such as optical, including CDs, DVDs and Blu-ray Discs (BD), flash memory, a variety of tape storage, and even paper storage such as punch cards and tape. This type of storage, contrary to the other ones, requires an operator who would manually insert and remove the storage media. Offline removable data storage is often used for backup purposes or transferring information between individuals.

Tertiary Storage

Tertiary storage or offline bulk storage usually refers to considerably slower storage, often used for archiving. It can rely on a variety of media stored in a library. The data is accessed upon request from the computer: a robotic arm retrieves and mounts the requested data, and then returns it to its original location.

Types of Storage Devices and Media

DVD drive

DVD drive

Optical

Optical media includes all storage media that can be read with the help of light, such as a laser. At the time of writing (spring 2013), the most common optical media includes CDs, DVDs, Blu-ray, and Ultra Density Optical disks. The reading device can have a single drive, allowing for access to only one disk at a time, or multiple ones, such as in an optical jukebox. The latter is an example of a tertiary storage media library with a robotic arm operator. Optical media is either rewritable or can be written only once but read multiple times (Write once read many or WORM format).

Solid-state drives

Solid-state drives

Semiconductor

Semiconductor media is probably the most widely used type. It takes the same time to access any part of memory, therefore it can be randomly accessed, regardless of the order in which the data was written.

Almost all primary media storage solutions as well as flash memory use semiconductors. Solid-state drives (SSDs) based on semiconductor technology are becoming an alternative to hard disk drives (HDDs). They are still considerably more expensive than HDDs at the time of writing (spring 2013), but can be accessed faster, do not break as easily from impact and do not emit noise. Hybrid drives that combine both the HDD and the SSD technology provide another alternative, with better performance than HDDs. SSDs decrease performance over time, compared to HDDs. Their data loss is often total, not segmental, and restoring them is more difficult than restoring the data on HDDs.

Hard disk drive

Hard disk drive

Magnetic

Magnetic storage is achieved by magnetizing a surface in particular patterns, and the data is then read and written by the read/write heads. Computer storage includes hard drives and floppy disks. The latter are now almost completely obsolete. Video and audio can also be stored on magnetic recording tapes. Finally, plastic cards can store some limited information on a magnetic stripe. These include debit and credit cards, access and key cards, such as in a hotel, and identifying cards such as a driver’s license, a gym membership card, or a university student card. Currently, microchips are being added to the magnetic stripe cards.

Loom punched card

Loom punched card

Paper

USB flash drive and a punched card

USB flash drive and a punched card

Historically paper media was widely used at the beginning of the computing era. It was used to make information like operation instructions readable by computers and other machines and devices, such as looms. In particular, punched tape and punched cards were used. Punch tape was also used for storing text messages such as telegrams and newspaper articles, as well as used in cash registers. From the late 1950s through to the 1980s they have been replaced by magnetic and other forms of storage. Paper storage is still used today, but in a very limited capacity, for example, to grade tests or to count votes.

References

Do you have difficulty translating a measurement unit into another language? Help is available! Post your question in TCTerms and you will get an answer from experienced technical translators in minutes.

Common Unit Converters

Length, mass, volume, area, temperature, pressure, energy, power, speed and other popular measurement unit converters.

Converter of Units of Information and Data Storage

A unit of information is the capacity of a standard data storage device or a communication channel used to measure the capacities of other systems and channels. The most common units are the bit and the byte (or octet). Information capacity is a dimensionless quantity because it refers to a count of binary symbols.

A bit is the basic unit of information in computing and telecommunications; a bit can have the value of either 1 or 0 only. A bit can also be defined as a variable or computed quantity that can have only two possible values. These two values are often denoted by the numerical digits 0 and 1. These two values can also be interpreted as logical values (true/false, yes/no), on/off state or any other two-valued attribute or physical condition such as flow/no flow or high pressure/low pressure.

A byte is a unit of digital information in computing and telecommunications that most commonly consists of eight bits.

Using the Converter of Units of Information and Data Storage Converter

This online unit converter allows quick and accurate conversion between many units of measure, from one system to another. The Unit Conversion page provides a solution for engineers, translators, and for anyone whose activities require working with quantities measured in different units.

You can use this online converter to convert between several hundred units (including metric, British and American) in 76 categories, or several thousand pairs including acceleration, area, electrical, energy, force, length, light, mass, mass flow, density, specific volume, power, pressure, stress, temperature, time, torque, velocity, viscosity, volume and capacity, volume flow, and more.
Note: Integers (numbers without a decimal period or exponent notation) are considered accurate up to 15 digits and the maximum number of digits after the decimal point is 10.

In this calculator, E notation is used to represent numbers that are too small or too large. E notation is an alternative format of the scientific notation a · 10x. For example: 1,103,000 = 1.103 · 106 = 1.103E+6. Here E (from exponent) represents “· 10^”, that is “times ten raised to the power of”. E-notation is commonly used in calculators and by scientists, mathematicians and engineers.

  • Select the unit to convert from in the left box containing the list of units.
  • Select the unit to convert to in the right box containing the list of units.
  • Enter the value (for example, “15”) into the left From box.
  • The result will appear in the Result box and in the To box.
  • Alternatively, you can enter the value into the right To box and read the result of conversion in the From and Result boxes.

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TranslatorsCafe.com Unit Converter YouTube channel

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(Word to B)

-10%
Copy
+10%
-10%
Copy
+10%
=

Converting

2X of 1 1/2X of 1
5X of 1 1/5X of 1
8X of 1 1/8X of 1

Result

1 Word is equivalent to 2 Byte

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  • Word to Byte

Formula Used

1 Bit = 0.0625 Word
1 Bit = 0.125 Byte
1 Word = 2 Byte

  • Word to Yottabit ⇄ [Word to Ybits ⇄] (Biggest)
  • Word to Byte ⇄ [Word to B ⇄] (You are Here)
  • Word to Bit ⇄ [Word to bits ⇄] (Base Unit)
  • Word to Yoctobit ⇄ [Word to ybits ⇄] (Smallest)

Word stands for words and B stands for bytes. The formula used in words to bytes conversion is 1 Word = 2 Byte. In other words, 1 word is 2 times bigger than a byte. To convert all types of measurement units, you can used this tool which is able to provide you conversions on a scale.

How to convert word to byte? In the data storage measurement, first choose word from the left dropdown and byte from the right dropdown, enter the value you want to convert and click on ‘convert’. Want a reverse calculation from byte to word? You can check our byte to word converter.

FAQ about converter

How to convert Word to Byte?

The formula to convert Word to Byte is 1 Word = 2 Byte. Word is 2 times Bigger than Byte. Enter the value of Word and hit Convert to get value in Byte. Check our Word to Byte converter. Need a reverse calculation from Byte to Word? You can check our Byte to Word Converter.

How many Bit is 1 Word?

1 Word is equal to 2 Bit. 1 Word is 2 times Bigger than 1 Bit.

How many Nibble is 1 Word?

1 Word is equal to 2 Nibble. 1 Word is 2 times Bigger than 1 Nibble.

How many Byte is 1 Word?

1 Word is equal to 2 Byte. 1 Word is 2 times Bigger than 1 Byte.

How many Character is 1 Word?

1 Word is equal to 2 Character. 1 Word is 2 times Bigger than 1 Character.

Units of measurement use the International System of Units, better known as SI units, which provide a standard for measuring the physical properties of matter. Measurement like data storage finds its use in a number of places right from education to industrial usage. Be it buying grocery or cooking, units play a vital role in our daily life; and hence their conversions. unitsconverters.com helps in the conversion of different units of measurement like Word to B through multiplicative conversion factors. When you are converting data storage, you need a Words to Bytes converter that is elaborate and still easy to use. Converting Word to Byte is easy, for you only have to select the units first and the value you want to convert. If you encounter any issues to convert, this tool is the answer that gives you the exact conversion of units. You can also get the formula used in Word to Byte conversion along with a table representing the entire conversion.

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