Computer | Random Access Memory | Read Only Memory

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Dec 13, 2016 - 12/13/2016Computer Wikipedia Computer From Wikipedia, the free encyclopedia A ... 2 History 2.1 Pre20th c...

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Computer Computer From Wikipedia, Wikipedia, the free encyclopedia

A computer device that can be instructed to carry out computer is a device an arbitrary set of set of arithmetic or logical operations operations automatically. The ability of computers computers to follow a sequence of operations, called a program, make computers very flexible and useful. useful. Such computers are computers are used as control systems for for a very wide very wide variety of industrial and consumer  devices. This This includes includes simple special purpose devices like microwave ovens and remote controls, factory devices such as industrial robots and computer assisted design, but also in general purpose devices like personal computers and mobile devices such as smartphones. The Internet is run on computers and it connects millions of other computers.

Computer

Since Since ancient times, simple manual devices like the abacus aided people in doing calculati calculations. ons. Early in the Industrial Computers Computers and computing devices devices from different eras Revolution, some mechanical devices were built to automate long tedious tasks, such as guiding patterns for  looms. More sophisticated More sophisticated electrical machines did specialized specialized analog analog calculations in the early 20th century. The first digital digital electronic calculating machines were develop developed ed during World War II. The speed, power, and versatility of computers computers has increased continuously and dr amatically amatically since then. Conventionally, a modern computer consists consists of at at least least one processing processing element, element, typically a central a central processing unit (CPU), and some form of memory. The processing element element carries out carries out arithmetic arithmetic and logical logical operations, and a sequencing sequencing and control unit unit can can change change the order of operations in r esponse esponse to stored infor mation. mation. Peripheral devices devices include input devices (keyboards, mice, joys joystick, tick, etc.), out put  put devices (monitor devices (monitor scr eens, eens, printers, etc.), and input/output input/output devices devices that t hat perform both perform both functions (e.g., (e.g., the 2000s-er a touchscreen). touchscreen). Peripheral Peripheral devices allow infor mation mation to be retrieved from an external sour ce ce and and they enable enable the result of of operations to operations to be saved and retrieved. retrieved.

Contents 1 Etymology 2 History 2.1 Pre-20th century 2.2 First computing device 2.3 Analog computers 2.4 Digital computers 2.5 Modern computers 2.6 Mobile computer computerss become dominant dominant 3 Programs 3.1 Stored program program architect architecture ure 3.2 Machine code 3.3 Programming language 3.4 Fourth generatio generationn languages languages 3.5 Program design https://en.wi ki pedia.or g/wi ki/Computer

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3.6 Bugs 4 Components 4.1 Control unit 4.2 Central processin processingg unit (CPU) (CPU) 4.3 Arithmetic Arithmetic logic logic unit (ALU) (ALU) 4.4 Memory 4.5 Input/output (I/O) 4.6 Multitasking 4.7 Multiprocessing 5 Networking and the Internet 5.1 Computer Computer architecture architecture paradigms paradigms 6 Misconceptions 6.1 Unconventional Unconventional computing computing 7 Future 8 Further topics 8.1 Artificial Artificial intellige intelligence nce 9 Hardware 9.1 History of computing computing hardware hardware 9.2 Other hardware topics 10 Software 11 Languages Languages 11.1 Firmware Firmware 12 Types 12.1 Based on uses 12.2 Based on sizes 13 Input devices 14 Output devices 15 Professions Professions and organizati organizations ons 16 See also 17 Notes 18 References 19 External links

Etymology According to the Oxford English Dictionary, the first known use of the word "computer" was in 1613 in a book  called The Yong Mans Gleanings by English writer Richard Braithwait: "I haue [sic] read the truest computer of  Times, and the best Arithmetician that euer [sic] breathed, and he reduceth thy dayes into a short number." This usage of the term referred to a person who carried out calculations or computations. 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.[1] The Online Etymology Dictionary gives the first attested use of "computer" in the "1640s, [meaning] "one who calculates,"; this is an "... agent noun from compute (v.)". The Online Etymology Dictionar y states that the use of  the term to mean "calculating machine" (of any type) is from 1897." The Online Etymology Dictionary indicates that the "modern use" of the term, to mean "programmable digital electronic computer" dates from "... 1945 under  this name; [in a] theoretical [sense] from 1937, as Turing machine".[2]

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Pre-20th century

Devices have been used to aid computation for thousands of years, mostly using one-to-one correspondence with fingers. The earliest counting device was probably a form of tally stick. Later record keeping aids throughout the Fertile Crescent included calculi (clay spheres, cones, etc.) which represented counts of items, probably livestock or grains, sealed in hollow unbaked clay containers.[3][4] The use of counting rods is one example.

The Chinese Suanpan (算盘) (the number represented on this abacus is 6,302,715,408)

The abacus was initially used for arithmetic tasks. The Roman abacus was developed from devices used in Babylonia as early as 2400 BC. Since then, many other  forms of reckoning boards or tables have been invented. In a medieval European counting house, a checkered cloth would be placed on a table, and markers moved around on it according to certain rules, as an aid to calculating sums of money.

The Ishango  bone

The Antikythera mechanism is  believed to be the earliest mechanical analog "computer", according to Derek J. de Solla Price.[5] It was designed to calculate astronomical positions. It was discovered in 1901 in the Antikythera wreck  off the Greek island of Antikythera, between Kythera and Crete, and has  been dated to circa 100 BC. Devices of a level of complexity comparable to that of the Antikythera mechanism would not reappear until a thousand years later. Many mechanical aids to calculation and measurement were constructed for  astronomical and navigation use. The planisphere was a star chart invented The ancient Greek-designed [6] Antikythera mechanism, mechanism, dating  by Abū Rayhān al-Bīrūnī in the early 11th century. cen tury.  The astrolabe was  between  between 150 and 100 BC, is the invented in the Hellenistic world in either the 1st or 2nd centuries BC and world's oldest analog computer. is often attributed to Hipparchus. A combination of the planisphere and dioptra, the astrolabe was effectively an analog computer capable of  working out several different kinds of problems in spherical astronomy. An astrolabe incorporating a mechanical calendar computer [7][8] and gear-wheels was invented by Abi Bakr of Isfahan, Persia in 1235.[9] Abū Rayhān alBīrūnī invented the first mechanical geared lunisolar calendar astrolabe,[10] an early fixed-wired knowledge  processing machine[11] with a gear train and gear-wheels,[12] circa 1000 AD. The sector, a calculating instrument used for solving problems in proportion, trigonometry, multiplication and division, and for various functions, such as squares and cube roots, was developed in the late 16th century and found application in gunnery, surveying and navigation. The planimeter was a manual instrument to calculate the area of a closed figure by tracing over it with a mechanical linkage. The slide rule was invented around 1620–1630, shortly after the publication of the concept of the logarithm. It is a hand-operated analog computer for doing multiplication and division. As slide rule development progressed, added scales provided reciprocals, squares and square roots, cubes and cube roots, as well as transcendental functions such as logarithms and exponentials, circular and hyperbolic trigonometry and other functions. Aviation is one of 

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the few fields where slide rules are still in widespread use, particularly for  solving time–distance problems in light aircraft. To save space and for ease of reading, these are typically circular devices rather than the classic linear  slide rule shape. A popular example is the E6B. A slide rule

In the 1770s Pierre Jaquet-Droz, a Swiss watchmaker, built a mechanical doll (automata) that could write holding a quill pen. By switching the number and order of its internal wheels different letters, and hence different messages, could be produced. In effect, it could be mechanically "programmed" to read instructions. Along with two other complex machines, the doll is at the Musée d'Art et d'Histoire of Neuchâtel, Switzerland, and still operates.[13] The tide-predicting machine invented by Sir William Thomson in 1872 was of great utility to navigation in shallow waters. It used a system of pulleys and wires to automatically calculate predicted tide levels for a set period at a  particular location. The differential analyser, a mechanical analog computer designed to solve differential equations by integration, used wheel-and-disc mechanisms to perform the integration. In 1876 Lord Kelvin had already discussed the  possible construction cons truction of such calculators, calcu lators, but he had been stymied by the limited output torque of the ball-and-disk  integrators.[14] In a differential analyzer, the output of one integrator drove the input of the next integrator, or a graphing output. The torque amplifier was the advance that allowed these machines to work. Starting in the 1920s, Vannevar Bush and others developed mechanical differential analyzers. First computing device

Charles Babbage, an English mechanical engineer and polymath, originated the concept of a programmable computer. Considered the "father of the computer",[15] 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 a nd 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 curv e 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 Turingcomplete.[16][17] A portion of Babbage's Difference The machine was about a century ahead of its time. All the parts for his engine. 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.

Analog computers https://en.wi ki pedia.or g/wi ki/Computer

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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.[18] 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.[14] Sir William Thomson's third tide predicting machine design, 1879–  81

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 the ir obsolescence obsolescenc e became obvious. By the 1950s the success of digital electronic computers computer s had spelled the end for most analog computing machines, but analog computers remained in use during the 1950s in some specialized applications such as education (control systems) and aircraft (slide rule). Digital computers Electromechanical

By 1938 the United States Navy had developed an electromechanical analog computer small enough to use aboard a submarine. This was the Torpedo Data Computer, which used trigonometry to solve the problem of firing a torpedo at a moving target. During World War II similar devices were developed in other countries as well. 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.[19] In 1941, Zuse followed his earlier machine up with the Z3, the world's first working electromechanical programmable, fully automatic digital Replica of Zuse's Z3, the first computer.[20][21] The Z3 was built with 2000 relays, implementing a 22 bit fully automatic, digital word length that operated at a clock frequency of about 5–10 Hz.[22] Program (electromechanical) computer. code was supplied on punched film while data could be stored in 64 words of  memory or supplied from the keyboard. It was quite similar to modern machines in some respects, pioneering numerous advances such as floating point numbers. Rather than the harderto-implement decimal system (used in Charles Babbage's earlier design), using a binary system meant that Zuse's machines were easier to build and potentially more reliable, given the technologies available at that time.[23] The Z3 was Turing complete.[24][25] Vacuum tubes and digital electronic circuits

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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.[18] In the US, John Vincent Atanasoff and Clifford E. Berry of Iowa State University developed and tested the Atanasoff–  Berry Computer (ABC) in 1942,[26] the first "automatic electronic digital computer".[27] This design was also allelectronic and used about 300 vacuum tubes, with capacitors fixed in a mechanically rotating drum for memory.[28] 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 Flower s to build the Colossus.[28] He spent eleven months from early February 1943 designing and building the first Colossus.[29] After a functional test in December  1943, Colossus was shipped to Bletchley Park, where it was delivered on 18 January 1944[30] and attacked its first message on 5 February.[28]

Colossus was the first electronic digital programmable computing device, and was used to break  German ciphers during World War II.

Colossus was the world's first electronic digital programmable computer.[18] It used a large number of valves (vacuum tubes). It had papertape 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.[31][32] The U.S.-built ENIAC[33] (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. 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.[34] ENIAC was the first Turing-complete device, and performed ballistics trajectory calculations for the United States Army.

Modern computers Concept of modern computer https://en.wi ki pedia.or g/wi ki/Computer

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The principle of the modern computer was proposed by Alan Turing in his seminal 1936 paper,[35] On Computable umbers. Turing proposed a simple device that he called "Universal Computing machine" and that is now known as a universal Turing machine. He proved that such a machine is capable of computing anything that is computable  by executing instructions (program) (pr ogram) stored stor ed on tape, allowing the machine to be programmable. The T he fundamental concept of Turing's design is the stored program, where all the instructions for computing are stored in memory. Von Neumann acknowledged that the central concept of the modern computer was due to this paper.[36] 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. Stored programs

Early computing machines had fixed programs. Changing its function required the re-wiring and re-structuring of the machine.[28] With the  proposal of o f the stored-program computer this changed. A stored program computer c omputer 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  EDVAC  in   in 1945.[18]

Ferranti Mark 1, c. 1951.

A section of the Manchester Small-Scale Experimental Machine, the first stored program computer. computer.

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.[37] It was designed as a testbed for the Williams tube, the first randomaccess digital storage device.[38] 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.[39] 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.[40] 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.[41] 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[42] and ran the world's first regular routine office computer job. Transistors

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 https://en.wi ki pedia.or g/wi ki/Computer

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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.[43] 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 A bipolar junction transistor  magnetic drum memory, so it was not the first completely transistorized computer. That distinction goes to the Harwell CADET of 1955,[44] built by the electronics division of the Atomic Energy Research Establishment at Harwell.[44][45] Integrated circuits

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.[46] The first practical ICs were invented by Jack Kilby at Texas Instruments and Robert Noyce at Fairchild Semiconductor.[47] Kilby recorded his initial ideas concerning the integrated circuit in July 1958, successfully demonstrating the first working integrated example on 12 September 1958.[48] 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".[49][50] Noyce also came up with his own idea of an integrated circuit half a year later than Kilby.[51] 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,[52] designed and realized by Ted Hoff, Federico Faggin, and Stanley Mazor at Intel.[53] Mobile computers become dominant

With the continued miniaturization of computing resources, and advancements in portable battery life, portable computers grew in popularity in the 2000s.[54] 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 and tablets run on a variety of operating systems and have become the dominant computing device on the market, with manufacturers reporting having shipped an estimated 237 million devices in 2Q 2013.[55]

Programs

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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 bas ed on the von Neumann architecture ar chitecture 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  ump that "remembers" the location it jumped from and another instruction to return to the instruction following that jump instruction.

Replica of the Small-Scale Experimental Machine (SSEM), the world's first stored-program computer, at the Museum of Science and Industry in Manchester, England

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. The following example is written in the MIPS assembly language: begin: addi $8 $8, , $0 $0, , 0 addi $9 $9, , $0 $0, , 1 loop: slti $10 $10, , $9 $9, , 1000 beq $10 $10, , $0 $0, , finish add $8 $8, , $8 $8, , $9 addi $9 $9, , $9 $9, , 1 j loop finish: add $2 $2, , $8 $8, , $0

# initialize sum to 0 # set first number to add = 1 # # # # #

check if the number is less than 1000 if odd number is greater than n then exit update sum get next number repeat the summing process

# put sum in output register

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 a fraction of a second. https://en.wi ki pedia.or g/wi ki/Computer

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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, 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,[56] it is extremely tedious and potentially error-prone to do so in  practice, especially esp ecially for complicated programs. progr ams. Instead, 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 c alled an assembler. 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

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.  purposes.

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 smartphone or a hand-held videogame) cannot understand the machine language of an x86 CPU that might be in a PC.[57] High-level languages/third generation language

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 lan guages that are able to express the needs of the programmer more conveniently conve niently (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.[58] 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 https://en.wi ki pedia.or g/wi ki/Computer

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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. Fourth generation languages

These 4G languages are less procedural than 3G languages. The benefit of 4GL is that they provide ways to obtain information without requiring the direct help of a programmer. An example of a 4GL is SQL. 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 ac ademic and professional discipline of software engineering eng ineering concentrates specifically on this challenge. Bugs

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 unr esponsive 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.[59] 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.[60]

The actual first computer bug, a moth found trapped on a relay of the Harvard Mark II computer 

Components 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 repres ents 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. Control unit https://en.wi ki pedia.or g/wi ki/Computer

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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 control signals that activate other parts of the computer.[61] Control systems in advanced computers may change the order of execution of some instructions 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.[62]

Video demonstrating the standard components of a "slimline" computer 

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: 1. Read the code for the next instruction from the cell indicated by the  program counter. cou nter. Diagram showing how a particular  2. Decode the numerical code for the instruction into a set of commands MIPS architecture instruction would or signals for each of the other systems.  be decoded by the control system system 3. Increment the program counter so it points to the next instruction. 4. Read whatever data the instruction requires from cells in memory (or   perhaps from f rom an input device). The location of this required data d ata is typically stored within the instruction code. 5. Provide the necessary data to an ALU or register. 6. If the instruction requires an ALU or specialized hardware to complete, instruct the hardware to perform the requested operation. 7. Write the result from the ALU back to a memory location or to a register or perhaps an output device. 8. 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. Central processing unit (CPU)

The control unit, ALU, and registers 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 . Arithmetic logic unit (ALU)

The ALU is capable of performing two classes of operations: arithmetic and logic.[63] 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, Howe ver, any computer that is capable of performing just the simplest operations can be programmed to https://en.wi ki pedia.or g/wi ki/Computer

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 break down do wn the more complex operations into simple steps that it can ca n perform. Therefore, any computer can be  programmed to perform any arithmetic operation—although it will take more mor e 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.[64] Graphics processors and computers with SIMD and MIMD features often contain ALUs that can perform arithmetic on vectors and matrices. 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.

Magnetic core memory was the computer memory of choice throughout the 1960s, until it was replaced by semiconductor memory.

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 (28 = 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 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 startup 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 https://en.wi ki pedia.or g/wi ki/Computer

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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.[65] 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 ar e designed to move frequently needed ne eded data into the cache automatically, often without the need for any intervention on the programmer's part. Input/output (I/O)

I/O is the means by which a computer exchanges information with the outside world.[66] Devices that provide input or output to the computer are called peripherals.[67] 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. Modern desktop computers contain many smaller  computers that assist the main CPU in performing I/O. A 2016-era flat screen display contains its own computer circuitry.

Hard disk drives are common storage devices used with computers.

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.[68] 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.[69] Before the era of inexpensive 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

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 https://en.wi ki pedia.or g/wi ki/Computer

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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.[70] 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 largescale simulation, graphics rendering, and cryptography applications, as well as with other so-called "embarrassingly parallel" tasks.

Cray designed many supercomputers that used multiprocessing heavily.

Networking and 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.[71] 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.[72] 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  Visualization of a portion of the operating systems and applications were modified to include the ability to routes on the Internet define and access the resources of other computers on the network, such as  peripheral devices, de vices, stored information, and the like, as extensions of the resources of an individual computer. Initially these facilities were available primarily to people working in hightech 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: Quantum computer vs. Chemical computer  Scalar processor vs. Vector processor   Non-Uniform Memory Access (NUMA) computers Register machine vs. Stack machine Harvard architecture vs. von Neumann architecture Cellular architecture

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Of all these abstract machines, a quantum computer holds the most promise for revolutionizing computing.[73] 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 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[74] definition of a computer is literally: " A device that computes, especially a  programmable [usually] electronic electron ic machine that performs high-speed mathematical or logical operations or that assembles, stores, correlates, or  otherwise processes information."[75] Any device which processes information qualifies as a computer, especially if the processing is  purposeful. Unconventional computing

Women as computers in NACA High Speed Flight Station "Computer  Room"

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. More realistically, modern computers are made out of transistors made of photolithographed semiconductors.

Future 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 Glossary of computers 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 https://en.wi ki pedia.or g/wi ki/Computer

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The term hardware covers all of those parts of a computer that are tangible physical objects. Circuits, computer  chips, graphic cards, sound cards, memory (RAM), motherboard, displays, power supplies, cables, keyboards,  printers and "mice" input devices are all hardware. History of computing hardware

Calculators First generation (mechanical/electromechanical)

Programmable devices Calculators

Second generation (vacuum tubes)

Third generation (discrete transistors and SSI, MSI, LSI integrated circuits)

Programmable devices Mainf ainfra ram mes Minicomputer  Minicomputer 4-bi 4-bitt micr microc ocom ompu pute terr 8-bit microcomputer 

Fourth generation (VLSI integrated circuits)

16-bit 16-bit microco microcomput mputer er 32-bit 32-bit microco microcomput mputer er 64-bit microcomputer [76] Embe Embedd dded ed comp comput uter er Personal computer 

Theoretical/experimental

Pascal's calculator, Arithmometer, Difference engine, Quevedo's analytical machines Jacquard loom, Analytical engine, IBM ASCC/Harvard Mark I, Harvard Mark II, IBM SSEC, Z1, Z2, Z3 Atanasoff–Berry Computer, IBM 604, UNIVAC UNIVAC 60, UNIVAC 120 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 IBM IBM 7090, 90, IBM IBM 7080, IBM Sys System/360, BUNCH HP 2116A, IBM System/32, IBM System/36, LINC, PDP-8, PDP-11 VAX, IBM System i Inte Intell 40 4004 04,, Inte Intell 40 4040 40 Intel 8008, Intel 8080, Motorola 6800, Motorola 6809, MOS Technology 6502, Zilog Z80 Intel Intel 8088 8088,, Zilog Zilog Z8000, Z8000, WDC 6581 65816/65 6/65802 802 Intel Intel 8038 80386, 6, Pentium Pentium,, Motorol Motorolaa 680 68000, 00, ARM Alpha, MIPS, PA-RISC, PowerPC, SPARC, SPARC, x86-64, ARMv8-A Inte Intell 80 8048 48,, Inte Intell 80 8051 51 Desktop computer, Home computer, Laptop computer, Personal digital assistant (PDA), Portable computer, Tablet PC, Wearable computer 

Quantum computer, Chemical computer, DNA computing, Optical computer, Spintronics  based computer 

Other hardware topics

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Input Peripheral device (input/output)

Output Both

Computer buses

Short range Long range (computer  networking)

Mouse, keyboard, joystick, image scanner, webcam, graphics tablet, microphone Monitor, printer, loudspeaker   Floppy disk drive, hard disk drive, optical disc drive, teleprinter  RS-232, SCSI, PCI, USB Ethernet, ATM, FDDI

Software Software  refers to parts of the computer which do not have a material form, such as programs, data, protocols, etc.

Software is that part of a computer system that consists of encoded information or computer instructions, in contrast to the physical hardware from which the system is built. Computer software includes computer programs, libraries and related non-executable data, such as online documentation or digital media. Computer hardware and software require each other and neither can be realistically used on its own. When software is stored in hardware that cannot easily be modified, such as with BIOS ROM in an IBM PC compatible) computer, it is sometimes called "firmware".

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Unix and UNIX System V, IBM AIX, HP-UX, Solaris (SunOS), IRIX, List of BSD BSD operating systems GNU/Linux GNU/Linux List of Linux distribution distributions, s, Comparison Comparison of Linux distribution distributionss Microsoft Windows 95, Windows 98, Windows NT, Windows 2000, Windows Me, Operating Windows Windows XP, Windows Vista, Windows 7, Windows 8, Windows 10 system /System DOS DO S 86-D 86-DOS OS (QDO (QDOS) S),, IBM IBM PC DO DOS, S, MS-D MS-DOS OS,, DR-D DR-DOS OS,, Free FreeDO DOS S Software Mac OS Mac OS clas classi sic, c, Mac OS X Embedded List of embedded operating systems and real-time Experimental Experimental Amoeba, Amoeba, Oberon/Blueb Oberon/Bluebottle, ottle, Plan 9 from Bell Bell Labs Multimedia Multimedia DirectX, DirectX, OpenGL, OpenAL, Vulkan (API) Library Programming C standard library, Standard Template Library library Prot Protoc ocol ol TCP/ TCP/IP IP,, Ke Kerm rmit it,, FTP, FTP, HTTP HTTP,, SMTP SMTP Data File File format format HTML, HTML, XML, XML, JPEG, JPEG, MPEG, MPEG, PNG Graphical user  interface Microsoft Windows, GNOME, KDE, QNX Photon, CDE, GEM, Aqua User interface (WIMP) Text-based Command-line interface, Text user interface user interface Word processing, Desktop publishing, Presentation program, Database Office suite management system, Scheduling & Time management, Spreadsheet, Accounting software Internet Browser, E-mail client, Web server, Mail transfer agent, Instant messaging Access Design and Computer-aided design, Computer-aided manufacturing, Plant management, manufacturing Robotic manufacturing, Supply chain management Raster graphics editor, Vector graphics editor, 3D modeler, Animation editor, 3D Graphics computer graphics, Video editing, Image processing Application Software Audio Aud io Digita Digitall aud audio io editor, editor, Audio Audio playbac playback, k, Mixing Mixing,, Aud Audio io synthesi synthesis, s, Compute Computerr music music Compiler, Assembler, Interpreter, Debugger, Text editor, Integrated development Software environment, Software performance analysis, Revision control, Software engineering configuration management Educational Educational Edutainment, Edutainment, Educational Educational game, Serious game, Flight simulator  simulator  Strategy, Arcade, Puzzle, Simulation, First-person shooter, Platform, Massively Games multiplayer, Interactive fiction Artificial intelligence, Antivirus software, Malware scanner, Installer/Package Misc 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. https://en.wi ki pedia.or g/wi ki/Computer

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Programming languages

Timeline of programming languages, List of programming languages by category, Lists of programming Generational list of programming languages, List of programming languages, Nonlanguages English-based programming languages Commonly used ARM, MIPS, x86 assembly languages Commonly used highAda, BASIC, C, C++, C#, COBOL, Fortran, PL/1, REXX, Java, Lisp, Pascal, Object level programming Pascal languages Commonly used Bourne script, JavaScript, Python, Ruby, PHP, Perl scripting languages Firmware

Firmware is the technology which has the combination of both hardware and software such as BIOS chip inside a computer. This chip (hardware) is located on the motherboard and has the BIOS set up (software) stored in it.

Types Computers are typically classified based on their uses: Based on uses

Analog computer  Digital computer  Hybrid computer  Based on sizes

Smartphone Micro computer  Personal computer  Laptop Mini Computer  Mainframe computer  Super computer 

Input devices When unprocessed data is sent to the computer with the help of input devices, the data is processed and sent to output devices. The input devices may be hand-operated or automated. The act of processing is mainly regulated  by the CPU. Some examples of hand-operated input devices are: Computer keyboard Digital camera Digital video Graphics tablet Image scanner  Joystick  Microphone https://en.wi ki pedia.or g/wi ki/Computer

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Mouse Overlay keyboard Trackball Touchscreen

Output devices The means through which computer gives output are known as output devices. Some examples of output devices are: Computer monitor  Printer  PC speaker  Projector  Sound card Video card car d

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- Electrical engineering, Electronic engineering, Computer engineering, Telecommunications related engineering, Optical engineering, Nanoengineering Computer science, Computer engineering, Desktop publishing, Human–computer interaction, SoftwareInformation technology, Information systems, Computational science, Software engineering, Video related 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 Pro Profess fessiional soc societies ACM, AIS, IS, IET IET, IFIP FIP, BCS Free/open source software groups Free Software Foundation, Mozilla Foundation, Apache Software Foundation

See also Computability theory Computer insecurity Computer security Glossary of computer hardware terms History of computer science List of computer term etymologies List of fictional computers Pulse computation TOP500 (list of most powerful computers)

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Notes 1. "computer, n.". Oxford English Dictionary (2 ed.). Oxford University Press. 1989. Retrieved 10 April 2009. 2. "computer (n.)". Online Etymology Dictionary. 3. According to Schmandt-Besserat 1981, these clay containers contained tokens, the total of which were the count of  objects being transferred. The containers thus served as something of a bill of lading or an accounts book. In order to avoid breaking open the containers, first, clay impressions of the tokens were placed on the outside of the containers, for  the count; the shapes of the impressions were abstracted into stylized marks; finally, the abstract marks were systematically used as numerals; these numerals were finally formalized as numbers. Eventually (Schmandt-Besserat estimates it took 4000 years (http://www.laits.utexas.edu/ghazal/Chap1/dsb/chapter1.html) Archived (https://web.archive. org/web/20120130084757/http://www.laits.utexas.edu/ghazal/Chap1/dsb/chapter1.html) 30 January 2012 at the Wayback  Machine.) the marks on the outside of the containers were all that were needed to convey the count, and the clay containers evolved into clay tablets with marks for the count. Archived (https://web.archive.org/web/20120130084757/htt  p://www  p://www.laits.utexas.edu/ghaz .laits.utexas.edu/ghazal/Chap al/Chap1/dsb/cha 1/dsb/chapter1.html) pter1.html) 30 January 2012 at the Waybac Waybackk Machine. Machine. 4. Robson, Eleanor (2008),  Mathematic  Mathematicss in Ancient Ancient Iraq, ISBN 978-0-691-09182-2. p.5: calculi were in use in Iraq for   primitive accoun accounting ting systems syst ems as early as 3200– 3200–3000 3000 BCE, with commodity commodity-specific -specific counting counting representation representation systems. Balanced accounting was in use by 3000–2350 BCE, and a sexagesimal number system was in use 2350–2000 BCE. 5. The Antikythera Mechanism Research Project   (http://www.antikythera-mechanism.gr/project/general/the-project.html), The Antikythera Mechanism Research Project. Retrieved 1 July 2007. Mankind, Vol 3: The Great medieval medieval Civilisations C ivilisations, p. 649. 6. G. Wiet, V. Elisseeff, P. Wolff, J. Naudu (1975).  History of Mankind, George Allen & Unwin Ltd, UNESCO. 7. Fuat Sezgin "Catalogue of the Exhibition of the Institute for the History of Arabic-Islamic Science (at the Johann Wolfgang Goethe University", Frankfurt, Germany) Frankfurt Book Fair 2004, p.35 & 38. 8. François Charette, Archaeology: High tech from Ancient Greece, Nature 444, 551–552(30 November 2006), doi:10.1038/444551a [1] (http://www.nature.com/nature/journal/v444/n7119/fig_tab/444551a_F2.html) 9. Bedini, Silvio A.; Maddison, Francis R. (1966). "Mechanical Universe: The Astrarium of Giovanni de' Dondi". Transactions of the American Philosophical Society. 56 (5): 1–69. doi:10.2307/1006002. JSTOR 1006002. 10. Price, Derek de S. (1984). "A History of Calculating Machines".  IEEE Micro. 4 (1): 22–52. doi:10.1109/MM.1984.291305. 11. Őren, Tuncer (2001). "Advances in Computer and Information Sciences: From Abacus to Holonic Agents" (PDF). Turk J   Elec Engin. 9 (1): 63–70. Science 42, p. 139–163. 12. Donald Routledge Hill (1985). "Al-Biruni's mechanical calendar",  Annals of Science 13. "The Writer Automaton, Switzerland". chonday.com. 11 July 2013. 14. Ray Girvan, "The revealed grace of the mechanism: computing after Babbage" (http://www.scientific-computing.com/scw mayjun03computingmachines.html) Archived (https://web.archive.org/web/20121103094710/http://www.scientific-comput ing.com/scwmayjun03computingmachines.html) 3 November 2012 at the Wayback Machine., Scientific Computing  World , May/June 2003 15. Halacy, Daniel Stephen (1970). Charles Babbage, Father of the Computer . Crowell-Collier Press. ISBN 0-02-741370-5. 16. "Babbage". Online stuff .  Science Museum. 2007-01-19. Retrieved 2012-08-01. 17. "Let's build Babbage's ultimate mechanical computer". opinion. New Scientist. 23 December 2010. Retrieved 2012-08-01. 18. "The Modern History of Computing". Stanford Encyclopedia of Philosophy. 19. 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. 20. Zuse, Konrad (2010) [1984], The Computer – My Life Translated by McKenna, Patricia and Ross, J. Andrew from:  Der  Computer, mein Lebenswerk (1984) , Berlin/Heidelberg: Springer-Verlag, ISBN 978-3-642-08151-4 21. Salz Trautman, Peggy (April 20, 1994). "A Computer Pioneer Rediscovered, 50 Years On". The New York Times . 22. Zuse, Konrad (1993).  Der Compu C omputer ter.. Mein Lebenswerk. Lebenswerk.  (in German) (3rd ed.). Berlin: Springer-Verlag. p. 55. ISBN 978-3-540-56292-4. 23. "Crash! The Story of IT: Zuse". Retrieved June 1, 2016. 24. Rojas, R. (1998). "How to make Zuse's Z3 a universal computer".  IEEE Annals of the History of Computing . 20 (3): 51–  54. doi:10.1109/85.707574. 25. Rojas, Raúl. "How to Make Zuse's Z3 a Universal Computer" (PDF).  Des Moines Moines Register , 26. January 15, 1941 notice in the  Des 27. Arthur W. Burks. The First Electronic Computer . 28. Copeland, Jack (2006), Colossus: The Secrets of Bletchley Park's Codebreaking Computers , Oxford: Oxford University Press, pp. 101–115, ISBN 0-19-284055-X https://en.wi ki pedia.or g/wi ki/Computer

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29. "Bletchley's "Bletchley's cod code-cra e-cracking cking Colossus",  BBC News , 2 February 2010, retrieved 19 October 2012 30. "Colossus – The Rebuild Story". The National Museum of Computing . 31. Randell, Brian; Fensom, Harry; Milne, Frank A. (15 March 1995), "Obituary: Allen Coombs", The Independent , retrieved 18 October 2012 F ensom obituary, retrieved 17 October 2012 32. Fensom, Jim (8 November 2010),  Harry Fensom 33. 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. 34. "Generations of Computer". techiwarehouse.com. 35. Turing, A. M. (1937). "On Computable Numbers, with an Application to the Entscheidungsproblem".  Proceeding  Proceedingss of the  London  London Mathematic Mathematical al Society Society. 2. 42  (1): 230–265. doi:10.1112/plms/s2-42.1.230. 36. "von Neumann ... firmly emphasized to me, and to others I am sure, that the fundamental conception is owing to Turing  —insofar as not anticipated anticipated by Babbage, Babbage, Lovelace Lovelace and others." Letter by Stanley Stanley Frankel Frankel to Brian Randell, 1972, quoted in Jack Copeland (2004) The Essential Turing , p22. 37. Enticknap, Nicholas (Summer 1998), "Computing's Golden Jubilee", Resurrection  Resurrection, The Computer Conservation Society (20), ISSN 0958-7403, retrieved 19 April 2008  Resurrection, The Computer Conservation Society, 1 (4), Summer 1992, 38. "Early computers at Manchester University",  Resurrection ISSN 0958-7403, retrieved 7 July 2010 Electronic Compu C omputers ters (1946–51) (1946–51), University of Manchester, retrieved 16 November 2008 39. Early Electronic  Introduction to the Mark 1, The University of Manchester, retrieved 4 November 2008 40. Napper, R. B. E.,  Introduction 41. Computer Conservation Society, Our Computer Heritage Pilot Study: Deliveries of Ferranti Mark I and Mark I Star  computers. , retrieved 9 January 2010 42. Lavington, Simon. "A brief history of British computers: the first 25 years (1948–1973).". British Computer Society. Retrieved 10 January 2010. 43. Lavington, Simon (1998), A History of Manchester Manchester Computers Computers  (2 ed.), Swindon: The British Computer Society, pp. 34–  35 44. Cooke-Yarborough, E. H. (June 1998), "Some early transistor applications in the UK",  Engineering  Engineering and Science Science  Education  Education Journal , London, UK: IEE, 7 (3): 100–106, doi:10.1049/esej:19980301, ISSN 0963-7346, retrieved 7 June 2009 (subscription required)  Introduction to Transistor Transistor Circuits. Edinburgh: Oliver and Boyd. p. 139. 45. Cooke-Yarborough, E.H. (1957). Introduction 46. "The Hapless Tale of Geoffrey Dummer" (http://www.epn-online.com/page/22909/the-hapless-tale-of-geoffrey-dummer-t his-is-the-sad-.html) Archived (https://web.archive.org/web/20130511181443/http://www.epn-online.com/page/22909/thehapless-tale-of-geoffrey-dummer-this-is-the-sad-.html) 11 May 2013 at the Wayback Machine., (n.d.), (HTML),  Electronic  Electronic Product News , accessed 8 July 2008. Archived (https://web.archive.org/web/20130511181443/http://www.epnonline.com/page/22909/the-hapless-tale-of-geoffrey-dummer-this-is-the-sad-.html) 11 May 2013 at the Wayback  Machine. 47. Kilby, Jack (2000), Nobel lecture (PDF), Stockholm: Nobel Foundation, retrieved 2008-05-15 48. The Chip that Jack Built   (http://www.ti.com/corp/docs/kilbyctr/jackbuilt.shtml), (c. 2008), (HTML), Texas Instruments, Retrieved 29 May 2008. 49. Jack S. Kilby, Miniaturized Electronic Circuits, United States Patent Office, US Patent 3,138,743, filed 6 February 1959, issued 23 June 1964. Technolog hnologyy and Society: Society: A History : From the Telegraph elegraph to the Internet . Routledge. 50. Winston, Brian (1998).  Media Tec  p. 221. ISBN 978-0-415-14230-4. 978-0-415-14230-4. 51. Robert Noyce's Unitary circuit, US patent 2981877 (https://worldwide.espacenet.com/textdoc?DB=EPODOC&IDX=US29 81877), "Semiconductor device-and-lead structure", issued 1961-04-25, assigned to Fairchild Semiconductor Corporation 52. Intel_4004 (November 1971), Intel's First F irst Microproce Microprocessor— ssor—the the Intel 4004, Intel Corp., archived from the original on 13 May 2008, retrieved 2008-05-17 53. The Intel 4004 (1971) die was 12 mm 2, composed of 2300 transistors; by comparison, the Pentium Pro was 306 mm 2, composed of 5.5 million transistors, according to Patterson, David; Hennessy, John (1998), Computer Organization and   Design  Design, San Francisco: Morgan Kaufmann, pp. 27–39, ISBN 1-55860-428-6 echnica. 54. Chartier, David (December 23, 2008). "Global notebook shipments finally overtake desktops".  Ars Technica 55. IDC (25 July 2013). "Growth Accelerates in the Worldwide Mobile Phone and Smartphone Markets in the Second Quarter, According to IDC". Archived from the original on 26 June 2014. 56. 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 nonvolatile memory. https://en.wi ki pedia.or g/wi ki/Computer

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57. 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. 58. 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. 59. 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. 60. Taylor, Alexander L., III (16 April 1984). "The Wizard Inside the Machine". TIME . Retrieved 17 February 2007. (subscription required)

61. 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. Some computers have instructions that are partially interpreted by the control unit with further interpretation performed by another device. 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. 62. 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. 63. 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. 64. Erricos Err icos John Kontoghiorghes Kontoghiorghes (2006). Handbook  Handbook of Parallel C omputing omputing and Statistics. CRC Press. p. 45. ISBN 978-08247-4067-2. 65. 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) 66. Donald Eadie (1968). Introduction  Introduction to the Basic Computer  Computer . Prentice-Hall. p. 12.  Introduction to Microcompu Microcomputers ters and the Microproce Microprocessors ssors . Wiley. p. 85. ISBN 978-067. Arpad Barna; Dan I. Porat (1976).  Introduction 471-05051-3. Operating System: System: A Concise Guide for the New 68. Jerry Peek; Grace Todino; John Strang (2002).  Learning the UNIX Operating User . O'Reilly. p. 130. ISBN 978-0-596-00261-9. Reduction in Speech Speech Applications Applications . CRC Press. p. 111. ISBN 978-0-8493-0949-6. 69. Gillian M. Davis (2002).  Noise Reduction 70. 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   performanc  performancee at a much lower cost than customized customized designs. While W hile custom architec architectures tures are still used for most of the most  powerful  powerful supercomputers, supercomputers, there has been a proliferation of cluster computers computers in recent recent years. (TOP500 (TOP500 2006) 71. 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 ..." 72. "A Brief History of the Internet". Internet Society. Retrieved 20 September 2008. 73. "Computer architecture: fundamentals and principles of computer design" (https://books.google.com/books?id=ZWaUurO wMPQC&q=quantum+computers&dq=insufficient+address+computer+architecture&source=gbs_word_cloud_r&cad=3#v =snippet&q=quantum%20computers&f=false) by Joseph D. Dumas 2006. page 340. 74. According to the Shorter Oxford English Dictionary (6th ed, 2007), the word computer  dates   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." 75. "Definition of computer". Thefreedictionary.com. Retrieved 29 January 2012. 76. 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.

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