A
computer is a general purpose device that can be
programmed
to carry out a set of arithmetic or logical operations automatically.
Since a sequence of operations can be readily changed, the computer can
solve more than one kind of problem.
Conventionally, a computer consists of at least one processing element, typically a
central processing unit (CPU), and some form of
memory.
The processing element carries out arithmetic and logic operations, and
a sequencing and control unit can change the order of operations in
response to stored information. Peripheral devices allow information to
be retrieved from an external source, and the result of operations saved
and retrieved.
In
World War II,
mechanical analog computers were used for specialized military applications. During this time the first electronic
digital computers were developed. Originally they were the size of a large room, consuming as much power as several hundred modern
personal computers (PCs).
[1]
Modern computers based on
integrated circuits are millions to billions of times more capable than the early machines, and occupy a fraction of the space.
[2] Simple computers are small enough to fit into
mobile devices, and
mobile computers can be powered by small
batteries. Personal computers in their various forms are
icons of the
Information Age and are what most people think of as “computers.” However, the
embedded computers found in many devices from
MP3 players to
fighter aircraft and from toys to
industrial robots are the most numerous.
Etymology
The first use of the word “computer” was recorded in 1613 in a book
called “The yong mans gleanings” by English writer Richard Braithwait
I
haue read the truest computer of Times, and the best Arithmetician that
euer breathed, and he reduceth thy dayes into a short number. It
referred to a person who carried out calculations, or computations, and
the word continued with the same meaning until the middle of the 20th
century. From the end of the 19th century the word began to take on its
more familiar meaning, a machine that carries out computations.
[3]
History
Rudimentary calculating devices first appeared in antiquity and
mechanical calculating aids were invented in the 17th century. The first
recorded use of the word "computer" is also from the 17th century,
applied to
human computers, people who performed
calculations,
often as employment. The first computer devices were conceived of in
the 19th century, and only emerged in their modern form in the 1940s.
First general-purpose computing device
Charles Babbage, an English mechanical engineer and
polymath, originated the concept of a programmable computer. Considered the "
father of the computer",
[4] he conceptualized and invented the first
mechanical computer in the early 19th century. After working on his revolutionary
difference engine, designed to aid in navigational calculations, in 1833 he realized that a much more general design, an
Analytical Engine, was possible. The input of programs and data was to be provided to the machine via
punched cards, a method being used at the time to direct mechanical
looms such as the
Jacquard loom.
For output, the machine would have a printer, a curve plotter and a
bell. The machine would also be able to punch numbers onto cards to be
read in later. The Engine incorporated an
arithmetic logic unit,
control flow in the form of
conditional branching and
loops, and integrated
memory, making it the first design for a general-purpose computer that could be described in modern terms as
Turing-complete.
[5][6]
The machine was about a century ahead of its time. All the parts for
his machine had to be made by hand - this was a major problem for a
device with thousands of parts. Eventually, the project was dissolved
with the decision of the
British Government
to cease funding. Babbage's failure to complete the analytical engine
can be chiefly attributed to difficulties not only of politics and
financing, but also to his desire to develop an increasingly
sophisticated computer and to move ahead faster than anyone else could
follow. Nevertheless his son, Henry Babbage, completed a simplified
version of the analytical engine's computing unit (the
mill) in 1888. He gave a successful demonstration of its use in computing tables in 1906.
Early analog computers
During the first half of the 20th century, many scientific
computing needs were met by increasingly sophisticated
analog computers, which used a direct mechanical or electrical model of the problem as a basis for
computation. However, these were not programmable and generally lacked the versatility and accuracy of modern digital computers.
[7]
The first modern analog computer was a
tide-predicting machine, invented by
Sir William Thomson in 1872. The
differential analyser,
a mechanical analog computer designed to solve differential equations
by integration using wheel-and-disc mechanisms, was conceptualized in
1876 by
James Thomson, the brother of the more famous Lord Kelvin.
[8]
The art of mechanical analog computing reached its zenith with the
differential analyzer, built by H. L. Hazen and
Vannevar Bush at
MIT starting in 1927. This built on the mechanical integrators of
James Thomson
and the torque amplifiers invented by H. W. Nieman. A dozen of these
devices were built before their obsolescence became obvious.
The modern computer age begins
The principle of the modern computer was first described by
computer scientist Alan Turing, who set out the idea in his seminal 1936 paper,
[9] On Computable Numbers. Turing reformulated
Kurt Gödel's
1931 results on the limits of proof and computation, replacing Gödel's
universal arithmetic-based formal language with the formal and simple
hypothetical devices that became known as
Turing machines.
He proved that some such machine would be capable of performing any
conceivable mathematical computation if it were representable as an
algorithm. He went on to prove that there was no solution to the
Entscheidungsproblem by first showing that the
halting problem for Turing machines is
undecidable: in general, it is not possible to decide algorithmically whether a given Turing machine will ever halt.
He also introduced the notion of a 'Universal Machine' (now known as a
Universal Turing machine),
with the idea that such a machine could perform the tasks of any other
machine, or in other words, it is provably capable of computing anything
that is computable by executing a program stored on tape, allowing the
machine to be programmable.
Von Neumann acknowledged that the central concept of the modern computer was due to this paper.
[10] Turing machines are to this day a central object of study in
theory of computation. Except for the limitations imposed by their finite memory stores, modern computers are said to be
Turing-complete, which is to say, they have
algorithm execution capability equivalent to a
universal Turing machine.
The first electromechanical computers
Replica of
Zuse's
Z3, the first fully automatic, digital (electromechanical) computer.
Early digital computers were electromechanical; electric switches
drove mechanical relays to perform the calculation. These devices had a
low operating speed and were eventually superseded by much faster
all-electric computers, originally using
vacuum tubes. The
Z2, created by German engineer
Konrad Zuse in 1939, was one of the earliest examples of an electromechanical relay computer.
[11]
In 1941, Zuse followed his earlier machine up with the
Z3, the world's first working
electromechanical programmable, fully automatic digital computer.
[12][13] The Z3 was built with 2000
relays, implementing a 22
bit word length that operated at a
clock frequency of about 5–10
Hz.
[14] Program code and data were stored on punched
film. It was quite similar to modern machines in some respects, pioneering numerous advances such as
floating point numbers. Replacement of the hard-to-implement decimal system (used in
Charles Babbage's earlier design) by the simpler
binary
system meant that Zuse's machines were easier to build and potentially
more reliable, given the technologies available at that time.
[15] The Z3 was probably a complete
Turing machine.
The introduction of electronic programmable computers with vacuum tubes
Purely
electronic circuit
elements soon replaced their mechanical and electromechanical
equivalents, at the same time that digital calculation replaced analog.
The engineer
Tommy Flowers, working at the
Post Office Research Station in
London in the 1930s, began to explore the possible use of electronics for the
telephone exchange. Experimental equipment that he built in 1934 went into operation 5 years later, converting a portion of the
telephone exchange network into an electronic data processing system, using thousands of
vacuum tubes.
[7] In the US, John Vincent Atanasoff and Clifford E. Berry of Iowa State University developed and tested the
Atanasoff–Berry Computer (ABC) in 1942,
[16] the first "automatic electronic digital computer".
[17]
This design was also all-electronic and used about 300 vacuum tubes,
with capacitors fixed in a mechanically rotating drum for memory.
[18]
During World War II, the British at
Bletchley Park achieved a number of successes at breaking encrypted German military communications. The German encryption machine,
Enigma, was first attacked with the help of the electro-mechanical
bombes. To crack the more sophisticated German
Lorenz SZ 40/42 machine, used for high-level Army communications,
Max Newman and his colleagues commissioned Flowers to build the Colossus.
[18] He spent eleven months from early February 1943 designing and building the first Colossus.
[19] After a functional test in December 1943, Colossus was shipped to Bletchley Park, where it was delivered on 18 January 1944
[20] and attacked its first message on 5 February.
[18]
Colossus was the world's first
electronic digital programmable computer.
[7]
It used a large number of valves (vacuum tubes). It had paper-tape
input and was capable of being configured to perform a variety of
boolean logical operations on its data, but it was not
Turing-complete.
Nine Mk II Colossi were built (The Mk I was converted to a Mk II making
ten machines in total). Colossus Mark I contained 1500 thermionic
valves (tubes), but Mark II with 2400 valves, was both 5 times faster
and simpler to operate than Mark 1, greatly speeding the decoding
process.
[21][22]
ENIAC was the first Turing-complete device,and performed ballistics trajectory calculations for the
United States Army.
The US-built
ENIAC[23]
(Electronic Numerical Integrator and Computer) was the first electronic
programmable computer built in the US. Although the ENIAC was similar
to the Colossus it was much faster and more flexible. It was
unambiguously a Turing-complete device and could compute any problem
that would fit into its memory. Like the Colossus, a "program" on the
ENIAC was defined by the states of its patch cables and switches, a far
cry from the
stored program
electronic machines that came later. Once a program was written, it had
to be mechanically set into the machine with manual resetting of plugs
and switches.
It combined the high speed of electronics with the ability to be
programmed for many complex problems. It could add or subtract 5000
times a second, a thousand times faster than any other machine. It also
had modules to multiply, divide, and square root. High speed memory was
limited to 20 words (about 80 bytes). Built under the direction of
John Mauchly and
J. Presper Eckert
at the University of Pennsylvania, ENIAC's development and construction
lasted from 1943 to full operation at the end of 1945. The machine was
huge, weighing 30 tons, using 200 kilowatts of electric power and
contained over 18,000 vacuum tubes, 1,500 relays, and hundreds of
thousands of resistors, capacitors, and inductors.
[24]
Stored program computers eliminate the need for re-wiring
Early computing machines had fixed programs. Changing its function required the re-wiring and re-structuring of the machine.
[18] With the proposal of the stored-program computer this changed. A stored-program computer includes by design an
instruction set and can store in memory a set of instructions (a
program) that details the
computation. The theoretical basis for the stored-program computer was laid by
Alan Turing in his 1936 paper. In 1945 Turing joined the
National Physical Laboratory
and began work on developing an electronic stored-program digital
computer. His 1945 report ‘Proposed Electronic Calculator’ was the first
specification for such a device.
John von Neumann at the
University of Pennsylvania, also circulated his
First Draft of a Report on the EDVAC in 1945.
[7]
The Manchester Small-Scale Experimental Machine, nicknamed
Baby, was the world's first
stored-program computer. It was built at the
Victoria University of Manchester by
Frederic C. Williams,
Tom Kilburn and Geoff Tootill, and ran its first program on 21 June 1948.
[25] It was designed as a
testbed for the
Williams tube the first
random-access digital storage device.
[26]
Although the computer was considered "small and primitive" by the
standards of its time, it was the first working machine to contain all
of the elements essential to a modern electronic computer.
[27]
As soon as the SSEM had demonstrated the feasibility of its design, a
project was initiated at the university to develop it into a more usable
computer, the
Manchester Mark 1.
The Mark 1 in turn quickly became the prototype for the
Ferranti Mark 1, the world's first commercially available general-purpose computer.
[28] Built by
Ferranti, it was delivered to the
University of Manchester in February 1951. At least seven of these later machines were delivered between 1953 and 1957, one of them to
Shell labs in
Amsterdam.
[29] In October 1947, the directors of British catering company
J. Lyons & Company decided to take an active role in promoting the commercial development of computers. The
LEO I computer became operational in April 1951
[30] and ran the world's first regular routine office computer
job.
Transistors replace vacuum tubes in computers
The bipolar
transistor was invented in 1947. From 1955 onwards transistors replaced
vacuum tubes
in computer designs, giving rise to the "second generation" of
computers. Compared to vacuum tubes, transistors have many advantages:
they are smaller, and require less power than vacuum tubes, so give off
less heat. Silicon junction transistors were much more reliable than
vacuum tubes and had longer, indefinite, service life. Transistorized
computers could contain tens of thousands of binary logic circuits in a
relatively compact space.
At the
University of Manchester, a team under the leadership of
Tom Kilburn designed and built a machine using the newly developed
transistors instead of valves.
[31] Their first
transistorised computer and the first in the world, was
operational by 1953,
and a second version was completed there in April 1955. However, the
machine did make use of valves to generate its 125 kHz clock waveforms
and in the circuitry to read and write on its magnetic
drum memory, so it was not the first completely transistorized computer. That distinction goes to the
Harwell CADET of 1955,
[32] built by the electronics division of the
Atomic Energy Research Establishment at
Harwell.
[33][34]
Integrated circuits replace transistors
The next great advance in computing power came with the advent of the
integrated circuit. The idea of the integrated circuit was first conceived by a radar scientist working for the
Royal Radar Establishment of the
Ministry of Defence,
Geoffrey W.A. Dummer.
Dummer presented the first public description of an integrated circuit
at the Symposium on Progress in Quality Electronic Components in
Washington, D.C. on 7 May 1952.
[35]
The first practical ICs were invented by
Jack Kilby at
Texas Instruments and
Robert Noyce at
Fairchild Semiconductor.
[36]
Kilby recorded his initial ideas concerning the integrated circuit in
July 1958, successfully demonstrating the first working integrated
example on 12 September 1958.
[37]
In his patent application of 6 February 1959, Kilby described his new
device as “a body of semiconductor material ... wherein all the
components of the electronic circuit are completely integrated.”
[38][39] Noyce also came up with his own idea of an integrated circuit half a year later than Kilby.
[40] His chip solved many practical problems that Kilby's had not. Produced at Fairchild Semiconductor, it was made of
silicon, whereas Kilby's chip was made of
germanium.
This new development heralded an explosion in the commercial and personal use of computers and led to the invention of the
microprocessor.
While the subject of exactly which device was the first microprocessor
is contentious, partly due to lack of agreement on the exact definition
of the term "microprocessor", it is largely undisputed that the first
single-chip microprocessor was the Intel 4004,
[41] designed and realized by
Ted Hoff,
Federico Faggin, and Stanley Mazor at
Intel.
[42]
Mobility and the growth of smartphone computers
With the continued miniaturization of computing resources, and advancements in portable battery life,
portable computers grew in popularity in the 1990s.
[citation needed]
The same developments that spurred the growth of laptop computers and
other portable computers allowed manufacturers to integrate computing
resources into cellular phones. These so-called
smartphones
run on a variety of operating systems and are rapidly becoming the
dominant computing device on the market, with manufacturers reporting
having shipped an estimated 237 million devices in 2Q 2013.
[43]
Programs
The defining feature of modern computers which distinguishes them from all other machines is that they can be
programmed. That is to say that some type of
instructions (the
program) can be given to the computer, and it will process them. Modern computers based on the
von Neumann architecture often have machine code in the form of an
imperative programming language.
In practical terms, a computer program may be just a few instructions
or extend to many millions of instructions, as do the programs for
word processors and
web browsers for example. A typical modern computer can execute billions of instructions per second (
gigaflops)
and rarely makes a mistake over many years of operation. Large computer
programs consisting of several million instructions may take teams of
programmers years to write, and due to the complexity of the task almost certainly contain errors.
Stored program architecture
This section applies to most common
RAM machine-based computers.
In most cases, computer instructions are simple: add one number to
another, move some data from one location to another, send a message to
some external device, etc. These instructions are read from the
computer's
memory and are generally carried out (
executed)
in the order they were given. However, there are usually specialized
instructions to tell the computer to jump ahead or backwards to some
other place in the program and to carry on executing from there. These
are called “jump” instructions (or
branches). Furthermore, jump instructions may be made to happen
conditionally
so that different sequences of instructions may be used depending on
the result of some previous calculation or some external event. Many
computers directly support
subroutines
by providing a type of jump that “remembers” the location it jumped
from and another instruction to return to the instruction following that
jump instruction.
Program execution might be likened to reading a book. While a person
will normally read each word and line in sequence, they may at times
jump back to an earlier place in the text or skip sections that are not
of interest. Similarly, a computer may sometimes go back and repeat the
instructions in some section of the program over and over again until
some internal condition is met. This is called the
flow of control within the program and it is what allows the computer to perform tasks repeatedly without human intervention.
Comparatively, a person using a pocket
calculator
can perform a basic arithmetic operation such as adding two numbers
with just a few button presses. But to add together all of the numbers
from 1 to 1,000 would take thousands of button presses and a lot of
time, with a near certainty of making a mistake. On the other hand, a
computer may be programmed to do this with just a few simple
instructions. For example:
mov No. 0, sum ; set sum to 0
mov No. 1, num ; set num to 1
loop: add num, sum ; add num to sum
add No. 1, num ; add 1 to num
cmp num, #1000 ; compare num to 1000
ble loop ; if num <= 1000, go back to 'loop'
halt ; end of program. stop running
Once told to run this program, the computer will perform the
repetitive addition task without further human intervention. It will
almost never make a mistake and a modern PC can complete the task in
about a millionth of a second.
[44]
Machine code
In most computers, individual instructions are stored as
machine code with each instruction being given a unique number (its operation code or
opcode
for short). The command to add two numbers together would have one
opcode; the command to multiply them would have a different opcode, and
so on. The simplest computers are able to perform any of a handful of
different instructions; the more complex computers have several hundred
to choose from, each with a unique numerical code. Since the computer's
memory is able to store numbers, it can also store the instruction
codes. This leads to the important fact that entire programs (which are
just lists of these instructions) can be represented as lists of numbers
and can themselves be manipulated inside the computer in the same way
as numeric data. The fundamental concept of storing programs in the
computer's memory alongside the data they operate on is the crux of the
von Neumann, or stored program
[citation needed],
architecture. In some cases, a computer might store some or all of its
program in memory that is kept separate from the data it operates on.
This is called the
Harvard architecture after the
Harvard Mark I computer. Modern von Neumann computers display some traits of the Harvard architecture in their designs, such as in
CPU caches.
While it is possible to write computer programs as long lists of numbers (
machine language) and while this technique was used with many early computers,
[45]
it is extremely tedious and potentially error-prone to do so in
practice, especially for complicated programs. Instead, each basic
instruction can be given a short name that is indicative of its function
and easy to remember – a
mnemonic such as ADD, SUB, MULT or JUMP. These mnemonics are collectively known as a computer's
assembly language.
Converting programs written in assembly language into something the
computer can actually understand (machine language) is usually done by a
computer program called an assembler.
A 1970s
punched card containing one line from a
FORTRAN program. The card reads: “Z(1) = Y + W(1)” and is labeled “PROJ039” for identification purposes.
Programming language
Programming languages provide various ways of specifying programs for computers to run. Unlike
natural languages,
programming languages are designed to permit no ambiguity and to be
concise. They are purely written languages and are often difficult to
read aloud. They are generally either translated into
machine code by a
compiler or an
assembler before being run, or translated directly at run time by an
interpreter. Sometimes programs are executed by a hybrid method of the two techniques.
Low-level languages
Machine languages and the assembly languages that represent them (collectively termed
low-level programming languages) tend to be unique to a particular type of computer. For instance, an
ARM architecture computer (such as may be found in a
PDA or a
hand-held videogame) cannot understand the machine language of an
Intel Pentium or the
AMD Athlon 64 computer that might be in a
PC.
[46]
Higher-level languages
Though considerably easier than in machine language, writing long
programs in assembly language is often difficult and is also error
prone. Therefore, most practical programs are written in more abstract
high-level programming languages that are able to express the needs of the
programmer
more conveniently (and thereby help reduce programmer error). High
level languages are usually “compiled” into machine language (or
sometimes into assembly language and then into machine language) using
another computer program called a
compiler.
[47]
High level languages are less related to the workings of the target
computer than assembly language, and more related to the language and
structure of the problem(s) to be solved by the final program. It is
therefore often possible to use different compilers to translate the
same high level language program into the machine language of many
different types of computer. This is part of the means by which software
like video games may be made available for different computer
architectures such as personal computers and various
video game consoles.
Program design
Program design of small programs is relatively simple and involves
the analysis of the problem, collection of inputs, using the programming
constructs within languages, devising or using established procedures
and algorithms, providing data for output devices and solutions to the
problem as applicable. As problems become larger and more complex,
features such as subprograms, modules, formal documentation, and new
paradigms such as object-oriented programming are encountered. Large
programs involving thousands of line of code and more require formal
software methodologies. The task of developing large
software
systems presents a significant intellectual challenge. Producing
software with an acceptably high reliability within a predictable
schedule and budget has historically been difficult; the academic and
professional discipline of
software engineering concentrates specifically on this challenge.
Bugs
Main article:
Software bug
The actual first computer bug, a moth found trapped on a relay of the Harvard Mark II computer
Errors in computer programs are called “
bugs.”
They may be benign and not affect the usefulness of the program, or
have only subtle effects. But in some cases, they may cause the program
or the entire system to “
hang,” becoming unresponsive to input such as
mouse clicks or keystrokes, to completely fail, or to
crash. Otherwise benign bugs may sometimes be harnessed for malicious intent by an unscrupulous user writing an
exploit,
code designed to take advantage of a bug and disrupt a computer's
proper execution. Bugs are usually not the fault of the computer. Since
computers merely execute the instructions they are given, bugs are
nearly always the result of programmer error or an oversight made in the
program's design.
[48]
Admiral
Grace Hopper, an American computer scientist and developer of the first
compiler, is credited for having first used the term “bugs” in computing after a dead moth was found shorting a relay in the
Harvard Mark II computer in September 1947.
[49]
Components
Video demonstrating the standard components of a "slimline" computer
A general purpose computer has four main components: the
arithmetic logic unit (ALU), the
control unit, the
memory, and the input and output devices (collectively termed I/O). These parts are interconnected by
buses, often made of groups of
wires.
Inside each of these parts are thousands to trillions of small
electrical circuits which can be turned off or on by means of an
electronic switch. Each circuit represents a
bit
(binary digit) of information so that when the circuit is on it
represents a “1”, and when off it represents a “0” (in positive logic
representation). The circuits are arranged in
logic gates so that one or more of the circuits may control the state of one or more of the other circuits.
The control unit, ALU, registers, and basic I/O (and often other
hardware closely linked with these) are collectively known as a
central processing unit
(CPU). Early CPUs were composed of many separate components but since
the mid-1970s CPUs have typically been constructed on a single
integrated circuit called a
microprocessor.
Control unit
Diagram showing how a particular
MIPS architecture instruction would be decoded by the control system
The control unit (often called a control system or central
controller) manages the computer's various components; it reads and
interprets (decodes) the program instructions, transforming them into a
series of control signals which activate other parts of the computer.
[50] Control systems in advanced computers may change the order of some instructions so as to improve performance.
A key component common to all CPUs is the
program counter, a special memory cell (a
register) that keeps track of which location in memory the next instruction is to be read from.
[51]
The control system's function is as follows—note that this is a
simplified description, and some of these steps may be performed
concurrently or in a different order depending on the type of CPU:
- Read the code for the next instruction from the cell indicated by the program counter.
- Decode the numerical code for the instruction into a set of commands or signals for each of the other systems.
- Increment the program counter so it points to the next instruction.
- Read whatever data the instruction requires from cells in memory (or
perhaps from an input device). The location of this required data is
typically stored within the instruction code.
- Provide the necessary data to an ALU or register.
- If the instruction requires an ALU or specialized hardware to
complete, instruct the hardware to perform the requested operation.
- Write the result from the ALU back to a memory location or to a register or perhaps an output device.
- Jump back to step (1).
Since the program counter is (conceptually) just another set of
memory cells, it can be changed by calculations done in the ALU. Adding
100 to the program counter would cause the next instruction to be read
from a place 100 locations further down the program. Instructions that
modify the program counter are often known as “jumps” and allow for
loops (instructions that are repeated by the computer) and often
conditional instruction execution (both examples of
control flow).
The sequence of operations that the control unit goes through to
process an instruction is in itself like a short computer program, and
indeed, in some more complex CPU designs, there is another yet smaller
computer called a
microsequencer, which runs a
microcode program that causes all of these events to happen.
Arithmetic logic unit (ALU)
The ALU is capable of performing two classes of operations: arithmetic and logic.
[52]
The set of arithmetic operations that a particular ALU supports may
be limited to addition and subtraction, or might include multiplication,
division,
trigonometry functions such as sine, cosine, etc., and
square roots. Some can only operate on whole numbers (
integers) whilst others use
floating point to represent
real numbers,
albeit with limited precision. However, any computer that is capable of
performing just the simplest operations can be programmed to break down
the more complex operations into simple steps that it can perform.
Therefore, any computer can be programmed to perform any arithmetic
operation—although it will take more time to do so if its ALU does not
directly support the operation. An ALU may also compare numbers and
return
boolean truth values (true or false) depending on whether one is equal to, greater than or less than the other (“is 64 greater than 65?”).
Logic operations involve
Boolean logic:
AND,
OR,
XOR and
NOT. These can be useful for creating complicated
conditional statements and processing
boolean logic.
Superscalar computers may contain multiple ALUs, allowing them to process several instructions simultaneously.
[53] Graphics processors and computers with
SIMD and
MIMD features often contain ALUs that can perform arithmetic on
vectors and
matrices.
Memory
Magnetic core memory was the computer memory of choice throughout the 1960s, until it was replaced by semiconductor memory.
A computer's memory can be viewed as a list of cells into which
numbers can be placed or read. Each cell has a numbered “address” and
can store a single number. The computer can be instructed to “put the
number 123 into the cell numbered 1357” or to “add the number that is in
cell 1357 to the number that is in cell 2468 and put the answer into
cell 1595.” The information stored in memory may represent practically
anything. Letters, numbers, even computer instructions can be placed
into memory with equal ease. Since the CPU does not differentiate
between different types of information, it is the software's
responsibility to give significance to what the memory sees as nothing
but a series of numbers.
In almost all modern computers, each memory cell is set up to store
binary numbers in groups of eight bits (called a
byte).
Each byte is able to represent 256 different numbers (2^8 = 256);
either from 0 to 255 or −128 to +127. To store larger numbers, several
consecutive bytes may be used (typically, two, four or eight). When
negative numbers are required, they are usually stored in
two's complement
notation. Other arrangements are possible, but are usually not seen
outside of specialized applications or historical contexts. A computer
can store any kind of information in memory if it can be represented
numerically. Modern computers have billions or even trillions of bytes
of memory.
The CPU contains a special set of memory cells called
registers
that can be read and written to much more rapidly than the main memory
area. There are typically between two and one hundred registers
depending on the type of CPU. Registers are used for the most frequently
needed data items to avoid having to access main memory every time data
is needed. As data is constantly being worked on, reducing the need to
access main memory (which is often slow compared to the ALU and control
units) greatly increases the computer's speed.
Computer main memory comes in two principal varieties:
random-access memory or RAM and
read-only memory
or ROM. RAM can be read and written to anytime the CPU commands it, but
ROM is preloaded with data and software that never changes, therefore
the CPU can only read from it. ROM is typically used to store the
computer's initial start-up instructions. In general, the contents of
RAM are erased when the power to the computer is turned off, but ROM
retains its data indefinitely. In a PC, the ROM contains a specialized
program called the
BIOS that orchestrates loading the computer's
operating system from the hard disk drive into RAM whenever the computer is turned on or reset. In
embedded computers,
which frequently do not have disk drives, all of the required software
may be stored in ROM. Software stored in ROM is often called
firmware, because it is notionally more like hardware than software.
Flash memory
blurs the distinction between ROM and RAM, as it retains its data when
turned off but is also rewritable. It is typically much slower than
conventional ROM and RAM however, so its use is restricted to
applications where high speed is unnecessary.
[54]
In more sophisticated computers there may be one or more RAM
cache memories,
which are slower than registers but faster than main memory. Generally
computers with this sort of cache are designed to move frequently needed
data into the cache automatically, often without the need for any
intervention on the programmer's part.
Input/output (I/O)
Main article:
Input/output
I/O is the means by which a computer exchanges information with the outside world.
[55] Devices that provide input or output to the computer are called
peripherals.
[56] On a typical personal computer, peripherals include input devices like the keyboard and
mouse, and output devices such as the
display and
printer.
Hard disk drives,
floppy disk drives and
optical disc drives serve as both input and output devices.
Computer networking is another form of I/O.
I/O devices are often complex computers in their own right, with their own CPU and memory. A
graphics processing unit might contain fifty or more tiny computers that perform the calculations necessary to display
3D graphics.
[citation needed] Modern
desktop computers contain many smaller computers that assist the main CPU in performing I/O.
Multitasking
While a computer may be viewed as running one gigantic program stored
in its main memory, in some systems it is necessary to give the
appearance of running several programs simultaneously. This is achieved
by multitasking i.e. having the computer switch rapidly between running
each program in turn.
[57]
One means by which this is done is with a special signal called an
interrupt,
which can periodically cause the computer to stop executing
instructions where it was and do something else instead. By remembering
where it was executing prior to the interrupt, the computer can return
to that task later. If several programs are running “at the same time,”
then the interrupt generator might be causing several hundred interrupts
per second, causing a program switch each time. Since modern computers
typically execute instructions several orders of magnitude faster than
human perception, it may appear that many programs are running at the
same time even though only one is ever executing in any given instant.
This method of multitasking is sometimes termed “time-sharing” since
each program is allocated a “slice” of time in turn.
[58]
Before the era of cheap computers, the principal use for multitasking was to allow many people to share the same computer.
Seemingly, multitasking would cause a computer that is switching
between several programs to run more slowly, in direct proportion to the
number of programs it is running, but most programs spend much of their
time waiting for slow input/output devices to complete their tasks. If a
program is waiting for the user to click on the mouse or press a key on
the keyboard, then it will not take a “time slice” until the event it
is waiting for has occurred. This frees up time for other programs to
execute so that many programs may be run simultaneously without
unacceptable speed loss.
Multiprocessing
Cray designed many supercomputers that used multiprocessing heavily.
Some computers are designed to distribute their work across several
CPUs in a multiprocessing configuration, a technique once employed only
in large and powerful machines such as
supercomputers,
mainframe computers and
servers. Multiprocessor and
multi-core
(multiple CPUs on a single integrated circuit) personal and laptop
computers are now widely available, and are being increasingly used in
lower-end markets as a result.
Supercomputers in particular often have highly unique architectures
that differ significantly from the basic stored-program architecture and
from general purpose computers.
[59]
They often feature thousands of CPUs, customized high-speed
interconnects, and specialized computing hardware. Such designs tend to
be useful only for specialized tasks due to the large scale of program
organization required to successfully utilize most of the available
resources at once. Supercomputers usually see usage in large-scale
simulation,
graphics rendering, and
cryptography applications, as well as with other so-called “
embarrassingly parallel” tasks.
Networking and the Internet
Visualization of a portion of the
routes on the Internet
Computers have been used to coordinate information between multiple locations since the 1950s. The U.S. military's
SAGE system was the first large-scale example of such a system, which led to a number of special-purpose commercial systems such as
Sabre.
[60]
In the 1970s, computer engineers at research institutions throughout
the United States began to link their computers together using
telecommunications technology. The effort was funded by ARPA (now
DARPA), and the
computer network that resulted was called the
ARPANET.
[61] The technologies that made the Arpanet possible spread and evolved.
In time, the network spread beyond academic and military institutions
and became known as the Internet. The emergence of networking involved a
redefinition of the nature and boundaries of the computer. Computer
operating systems and applications were modified to include the ability
to define and access the resources of other computers on the network,
such as peripheral devices, stored information, and the like, as
extensions of the resources of an individual computer. Initially these
facilities were available primarily to people working in high-tech
environments, but in the 1990s the spread of applications like e-mail
and the
World Wide Web, combined with the development of cheap, fast networking technologies like
Ethernet and
ADSL
saw computer networking become almost ubiquitous. In fact, the number
of computers that are networked is growing phenomenally. A very large
proportion of personal computers regularly connect to the Internet to
communicate and receive information. “Wireless” networking, often
utilizing mobile phone networks, has meant networking is becoming
increasingly ubiquitous even in mobile computing environments.
Computer architecture paradigms
There are many types of
computer architectures:
Of all these
abstract machines, a quantum computer holds the most promise for revolutionizing computing.
[62]
Logic gates are a common abstraction which can apply to most of the above
digital or
analog paradigms.
The ability to store and execute lists of instructions called
programs makes computers extremely versatile, distinguishing them from
calculators. The
Church–Turing thesis is a mathematical statement of this versatility: any computer with a
minimum capability (being Turing-complete) is, in principle, capable of performing the same tasks that any other computer can perform. Therefore any type of computer (
netbook,
supercomputer,
cellular automaton, etc.) is able to perform the same computational tasks, given enough time and storage capacity.
Misconceptions
Women as computers in NACA High Speed Flight Station "Computer Room"
A computer does not need to be
electronic, nor even have a
processor, nor
RAM, nor even a
hard disk. While popular usage of the word “computer” is synonymous with a personal electronic computer, the modern
[63] definition of a computer is literally “
A device that computes,
especially a programmable [usually] electronic machine that performs
high-speed mathematical or logical operations or that assembles, stores,
correlates, or otherwise processes information.”
[64] Any device which
processes information qualifies as a computer, especially if the processing is purposeful.
Required technology
Historically, computers evolved from
mechanical computers and eventually from
vacuum tubes to
transistors. However, conceptually computational systems as
flexible as a personal computer can be built out of almost anything. For example, a computer can be made out of billiard balls (
billiard ball computer); an often quoted example.
[citation needed] More realistically, modern computers are made out of
transistors made of
photolithographed semiconductors.
There is active research to make computers out of many promising new types of technology, such as
optical computers,
DNA computers,
neural computers, and
quantum computers. Most computers are universal, and are able to calculate any
computable function,
and are limited only by their memory capacity and operating speed.
However different designs of computers can give very different
performance for particular problems; for example quantum computers can
potentially break some modern encryption algorithms (by
quantum factoring) very quickly.
Further topics
Artificial intelligence
A computer will solve problems in exactly the way it is programmed
to, without regard to efficiency, alternative solutions, possible
shortcuts, or possible errors in the code. Computer programs that learn
and adapt are part of the emerging field of
artificial intelligence and
machine learning.
Hardware
The term
hardware covers all of those parts of a computer that
are tangible objects. Circuits, displays, power supplies, cables,
keyboards, printers and mice are all hardware.
History of computing hardware
| First generation (mechanical/electromechanical) |
Calculators |
Pascal's calculator, Arithmometer, Difference engine, Quevedo's analytical machines |
| Programmable devices |
Jacquard loom, Analytical engine, IBM ASCC/Harvard Mark I, Harvard Mark II, IBM SSEC, Z1, Z2, Z3 |
| Second generation (vacuum tubes) |
Calculators |
Atanasoff–Berry Computer, IBM 604, UNIVAC 60, UNIVAC 120 |
| Programmable devices |
Colossus, ENIAC, Manchester Small-Scale Experimental Machine, EDSAC, Manchester Mark 1, Ferranti Pegasus, Ferranti Mercury, CSIRAC, EDVAC, UNIVAC I, IBM 701, IBM 702, IBM 650, Z22 |
| Third generation (discrete transistors and SSI, MSI, LSI integrated circuits) |
Mainframes |
IBM 7090, IBM 7080, IBM System/360, BUNCH |
| Minicomputer |
PDP-8, PDP-11, IBM System/32, IBM System/36 |
| Fourth generation (VLSI integrated circuits) |
Minicomputer |
VAX, IBM System i |
| 4-bit microcomputer |
Intel 4004, Intel 4040 |
| 8-bit microcomputer |
Intel 8008, Intel 8080, Motorola 6800, Motorola 6809, MOS Technology 6502, Zilog Z80 |
| 16-bit microcomputer |
Intel 8088, Zilog Z8000, WDC 65816/65802 |
| 32-bit microcomputer |
Intel 80386, Pentium, Motorola 68000, ARM |
| 64-bit microcomputer[65] |
Alpha, MIPS, PA-RISC, PowerPC, SPARC, x86-64, ARMv8-A |
| Embedded computer |
Intel 8048, Intel 8051 |
| Personal computer |
Desktop computer, Home computer, Laptop computer, Personal digital assistant (PDA), Portable computer, Tablet PC, Wearable computer |
| Theoretical/experimental |
Quantum computer, Chemical computer, DNA computing, Optical computer, Spintronics based computer |
Other hardware topics
| Peripheral device (input/output) |
Input |
Mouse, keyboard, joystick, image scanner, webcam, graphics tablet, microphone |
| Output |
Monitor, printer, loudspeaker |
| Both |
Floppy disk drive, hard disk drive, optical disc drive, teleprinter |
| Computer buses |
Short range |
RS-232, SCSI, PCI, USB |
| Long range (computer networking) |
Ethernet, ATM, FDDI |
Software
Software refers to parts of the computer which do not have a
material form, such as programs, data, protocols, etc. When software is
stored in hardware that cannot easily be modified (such as
BIOS ROM in an
IBM PC compatible), it is sometimes called “firmware.”
| Operating system |
Unix and BSD |
UNIX System V, IBM AIX, HP-UX, Solaris (SunOS), IRIX, List of BSD operating systems |
| GNU/Linux |
List of Linux distributions, Comparison of Linux distributions |
| Microsoft Windows |
Windows 95, Windows 98, Windows NT, Windows 2000, Windows Me, Windows XP, Windows Vista, Windows 7, Windows 8 |
| DOS |
86-DOS (QDOS), IBM PC DOS, MS-DOS, DR-DOS, FreeDOS |
| Mac OS |
Mac OS classic, Mac OS X |
| Embedded and real-time |
List of embedded operating systems |
| Experimental |
Amoeba, Oberon/Bluebottle, Plan 9 from Bell Labs |
| Library |
Multimedia |
DirectX, OpenGL, OpenAL |
| Programming library |
C standard library, Standard Template Library |
| Data |
Protocol |
TCP/IP, Kermit, FTP, HTTP, SMTP |
| File format |
HTML, XML, JPEG, MPEG, PNG |
| User interface |
Graphical user interface (WIMP) |
Microsoft Windows, GNOME, KDE, QNX Photon, CDE, GEM, Aqua |
| Text-based user interface |
Command-line interface, Text user interface |
| Application |
Office suite |
Word processing, Desktop publishing, Presentation program, Database management system, Scheduling & Time management, Spreadsheet, Accounting software |
| Internet Access |
Browser, E-mail client, Web server, Mail transfer agent, Instant messaging |
| Design and manufacturing |
Computer-aided design, Computer-aided manufacturing, Plant management, Robotic manufacturing, Supply chain management |
| Graphics |
Raster graphics editor, Vector graphics editor, 3D modeler, Animation editor, 3D computer graphics, Video editing, Image processing |
| Audio |
Digital audio editor, Audio playback, Mixing, Audio synthesis, Computer music |
| Software engineering |
Compiler, Assembler, Interpreter, Debugger, Text editor, Integrated development environment, Software performance analysis, Revision control, Software configuration management |
| Educational |
Edutainment, Educational game, Serious game, Flight simulator |
| Games |
Strategy, Arcade, Puzzle, Simulation, First-person shooter, Platform, Massively multiplayer, Interactive fiction |
| Misc |
Artificial intelligence, Antivirus software, Malware scanner, Installer/Package management systems, File manager |
Languages
There are thousands of different programming languages—some intended
to be general purpose, others useful only for highly specialized
applications.
Programming languages
| Lists of programming languages |
Timeline of programming languages, List of programming languages by category, Generational list of programming languages, List of programming languages, Non-English-based programming languages |
| Commonly used assembly languages |
ARM, MIPS, x86 |
| Commonly used high-level programming languages |
Ada, BASIC, C, C++, C#, COBOL, Fortran, Java, Lisp, Pascal, Object Pascal |
| Commonly used scripting languages |
Bourne script, JavaScript, Python, Ruby, PHP, Perl |
Professions and organizations
As the use of computers has spread throughout society, there are an increasing number of careers involving computers.
Computer-related professions
| Hardware-related |
Electrical engineering, Electronic engineering, Computer engineering, Telecommunications engineering, Optical engineering, Nanoengineering |
| Software-related |
Computer science, Computer engineering, Desktop publishing, Human–computer interaction, Information technology, Information systems, Computational science, Software engineering, Video game industry, Web design |
The need for computers to work well together and to be able to
exchange information has spawned the need for many standards
organizations, clubs and societies of both a formal and informal nature.
Organizations
| Standards groups |
ANSI, IEC, IEEE, IETF, ISO, W3C |
| Professional societies |
ACM, AIS, IET, IFIP, BCS |
| Free/open source software groups |
Free Software Foundation, Mozilla Foundation, Apache Software Foundation |
Degradation
Rasberry crazy ants have been known to consume the insides of electrical wiring in computers; preferring
DC to
AC currents. This behavior is not well understood by scientists.
[66]
See also
Notes
- In 1946, ENIAC required an estimated 174 kW. By comparison, a modern laptop computer may use around 30 W; nearly six thousand times less. "Approximate Desktop & Notebook Power Usage". University of Pennsylvania. Retrieved 20 June 2009.
- Early computers such as Colossus and ENIAC were able to process between 5 and 100 operations per second. A modern “commodity” microprocessor
(as of 2007) can process billions of operations per second, and many of
these operations are more complicated and useful than early computer
operations. "Intel Core2 Duo Mobile Processor: Features". Intel Corporation. Retrieved 20 June 2009.
- "computer, n.". Oxford English Dictionary (2 ed.). Oxford University Press. 1989. Retrieved 10 April 2009.
- Halacy, Daniel Stephen (1970). Charles Babbage, Father of the Computer. Crowell-Collier Press. ISBN 0-02-741370-5.
- "Babbage". Online stuff. Science Museum. 2007-01-19. Retrieved 2012-08-01.
- "Let's build Babbage's ultimate mechanical computer". opinion. New Scientist. 23 December 2010. Retrieved 2012-08-01.
- "The Modern History of Computing". Stanford Encyclopedia of Philosophy.
- Ray Girvan, "The revealed grace of the mechanism: computing after Babbage", Scientific Computing World, May/June 2003
- Proceedings of the London Mathematical Society
- "von Neumann ...
firmly emphasized to me, and to others I am sure, that the fundamental
conception is owing to Turing—insofar as not anticipated by Babbage,
Lovelace and others." Letter by Stanley Frankel to Brian Randell, 1972, quoted in Jack Copeland (2004) The Essential Turing, p22.
- Zuse, Horst. "Part 4: Konrad Zuse's Z1 and Z3 Computers". The Life and Work of Konrad Zuse. EPE Online. Archived from the original on 2008-06-01. Retrieved 2008-06-17.
- Zuse, Konrad (2010) [1984], The Computer – My Life Translated by McKenna, Patricia and Ross, J. Andrew from: Der Computer, mein Lebenswerk (1984) (in English translated from German), Berlin/Heidelberg: Springer-Verlag, ISBN 978-3-642-08151-4
- "A Computer Pioneer Rediscovered, 50 Years On". The New York Times. April 20, 1994.
- Zuse, Konrad (1993). Der Computer. Mein Lebenswerk. (in German) (3rd ed.). Berlin: Springer-Verlag. p. 55. ISBN 978-3-540-56292-4.
- Crash! The Story of IT: Zuse at the Wayback Machine (archived March 18, 2008)
- January 15, 1941 notice in the Des Moines Register,
- Arthur W. Burks. The First Electronic Computer.
- Copeland, Jack (2006), Colossus: The Secrets of Bletchley Park's Codebreaking Computers, Oxford: Oxford University Press, pp. 101–115, ISBN 0-19-284055-X
- Bletchley's code-cracking Colossus, BBC News, 2 February 2010, retrieved 19 October 2012
- The Colossus Rebuild http://www.tnmoc.org/colossus-rebuild-story
- Randell, Brian; Fensom, Harry; Milne, Frank A. (15 March 1995), Obituary: Allen Coombs, The Independent, retrieved 18 October 2012
- Fensom, Jim (8 November 2010), Harry Fensom obituary, retrieved 17 October 2012
- John Presper Eckert
Jr. and John W. Mauchly, Electronic Numerical Integrator and Computer,
United States Patent Office, US Patent 3,120,606, filed 26 June 1947,
issued 4 February 1964, and invalidated 19 October 1973 after court
ruling on Honeywell v. Sperry Rand.
- Generations of Computers
- Enticknap, Nicholas (Summer 1998), Computing's Golden Jubilee, Resurrection (The Computer Conservation Society) (20), ISSN 0958-7403, retrieved 19 April 2008
- Early computers at Manchester University, Resurrection (The Computer Conservation Society) 1 (4), Summer 1992, ISSN 0958-7403, retrieved 7 July 2010
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- Napper, R. B. E., Introduction to the Mark 1, The University of Manchester, retrieved 4 November 2008
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- Lavington, Simon (1998), A History of Manchester Computers (2 ed.), Swindon: The British Computer Society, pp. 34–35
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- Cooke-Yarborough, E.H. (June 1998). "Some early transistor applications in the UK". Engineering and Science Education Journal (London, UK: IEE) 7 (3): 100–106. doi:10.1049/esej:19980301. ISSN 0963-7346. Retrieved 2009-06-07.
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Miniaturized Electronic Circuits, United States Patent Office, US Patent
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- Robert Noyce's Unitary circuit, US patent 2981877, "Semiconductor device-and-lead structure", issued 1961-04-25, assigned to Fairchild Semiconductor Corporation
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- http://www.idc.com/getdoc.jsp?containerId=prUS24239313
- This program was written similarly to those for the PDP-11 minicomputer and shows some typical things a computer can do. All the text after the semicolons are comments for the benefit of human readers. These have no significance to the computer and are ignored. (Digital Equipment Corporation 1972)
- Even some later computers were commonly programmed directly in machine code. Some minicomputers like the DEC PDP-8 could be programmed directly from a panel of switches. However, this method was usually used only as part of the booting process. Most modern computers boot entirely automatically by reading a boot program from some non-volatile memory.
- However, there is sometimes some form of machine language compatibility between different computers. An x86-64 compatible microprocessor like the AMD Athlon 64 is able to run most of the same programs that an Intel Core 2 microprocessor can, as well as programs designed for earlier microprocessors like the Intel Pentiums and Intel 80486.
This contrasts with very early commercial computers, which were often
one-of-a-kind and totally incompatible with other computers.
- High level languages are also often interpreted
rather than compiled. Interpreted languages are translated into machine
code on the fly, while running, by another program called an interpreter.
- It is not
universally true that bugs are solely due to programmer oversight.
Computer hardware may fail or may itself have a fundamental problem that
produces unexpected results in certain situations. For instance, the Pentium FDIV bug caused some Intel microprocessors in the early 1990s to produce inaccurate results for certain floating point
division operations. This was caused by a flaw in the microprocessor
design and resulted in a partial recall of the affected devices.
- Taylor, Alexander L., III (16 April 1984). "The Wizard Inside the Machine". TIME. Retrieved 17 February 2007. (subscription required)
- The control unit's
role in interpreting instructions has varied somewhat in the past.
Although the control unit is solely responsible for instruction
interpretation in most modern computers, this is not always the case.
Many computers include some instructions that may only be partially
interpreted by the control system and partially interpreted by another
device. This is especially the case with specialized computing hardware
that may be partially self-contained. For example, EDVAC,
one of the earliest stored-program computers, used a central control
unit that only interpreted four instructions. All of the
arithmetic-related instructions were passed on to its arithmetic unit
and further decoded there.
- Instructions often
occupy more than one memory address, therefore the program counter
usually increases by the number of memory locations required to store
one instruction.
- David J. Eck (2000). The Most Complex Machine: A Survey of Computers and Computing. A K Peters, Ltd. p. 54. ISBN 978-1-56881-128-4.
- Erricos John Kontoghiorghes (2006). Handbook of Parallel Computing and Statistics. CRC Press. p. 45. ISBN 978-0-8247-4067-2.
- Flash memory also
may only be rewritten a limited number of times before wearing out,
making it less useful for heavy random access usage. (Verma & Mielke 1988)
- Donald Eadie (1968). Introduction to the Basic Computer. Prentice-Hall. p. 12.
- Arpad Barna; Dan I. Porat (1976). Introduction to Microcomputers and the Microprocessors. Wiley. p. 85. ISBN 978-0-471-05051-3.
- Jerry Peek; Grace Todino; John Strang (2002). Learning the UNIX Operating System: A Concise Guide for the New User. O'Reilly. p. 130. ISBN 978-0-596-00261-9.
- Gillian M. Davis (2002). Noise Reduction in Speech Applications. CRC Press. p. 111. ISBN 978-0-8493-0949-6.
- However, it is also
very common to construct supercomputers out of many pieces of cheap
commodity hardware; usually individual computers connected by networks.
These so-called computer clusters
can often provide supercomputer performance at a much lower cost than
customized designs. While custom architectures are still used for most
of the most powerful supercomputers, there has been a proliferation of
cluster computers in recent years. (TOP500 2006)
- Agatha C. Hughes (2000). Systems, Experts, and Computers. MIT Press. p. 161. ISBN 978-0-262-08285-3.
"The experience of SAGE helped make possible the first truly
large-scale commercial real-time network: the SABRE computerized airline
reservations system..."
- "A Brief History of the Internet". Internet Society. Retrieved 20 September 2008.
- "Computer architecture: fundamentals and principles of computer design" by Joseph D. Dumas 2006. page 340.
- According to the Shorter Oxford English Dictionary (6th ed, 2007), the word computer
dates back to the mid 17th century, when it referred to “A person who
makes calculations; specifically a person employed for this in an
observatory etc.”
- "Definition of computer". Thefreedictionary.com. Retrieved 29 January 2012.
- Most major 64-bit instruction set architectures
are extensions of earlier designs. All of the architectures listed in
this table, except for Alpha, existed in 32-bit forms before their
64-bit incarnations were introduced.
- Andrew R Hickey (May 15, 2008). "'Crazy' Ant Invasion Frying Computer Equipment".
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