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Revision as of 16:44, 8 September 2006 by 169.241.28.71 (talk) (→How computers work: the stored program architecture)(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff) For the IEEE magazine see Computer (magazine).A computer is a machine for manipulating data according to a list of instructions known as a program.
Computers are extremely versatile. In fact, they are universal information-processing machines. According to the Church–Turing thesis, a computer with a certain minimum threshold capability is in principle capable of performing the tasks of any other computer. Therefore, computers with capabilities ranging from those of a personal digital assistant to a supercomputer may all perform the same tasks, as long as time and memory capacity are not considerations. Therefore, the same computer designs may be adapted for tasks ranging from processing company payrolls to controlling unmanned spaceflights. Due to technological advancement, modern electronic computers are exponentially more capable than those of preceding generations (a phenomenon partially described by Moore's Law).
Computers take numerous physical forms. Early electronic computers were the size of a large room, while entire modern embedded computers may be smaller than a deck of playing cards. Even today, enormous computing facilities still exist for specialized scientific computation and for the transaction processing requirements of large organizations. Smaller computers designed for individual use are called personal computers. Along with its portable equivalent, the laptop computer, the personal computer is the ubiquitous information processing and communication tool, and is usually what is meant by "a computer". However, the most common form of computer in use today is the embedded computer. Embedded computers are usually relatively simple and physically small computers used to control another device. They may control machines from fighter aircraft to industrial robots to digital cameras.
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Digital circuits
The conceptual design above could be implemented using a variety of different technologies. As previously mentioned, a stored program computer could be designed entirely of mechanical components like Babbage's devices or the Digi-Comp I. However, digital circuits allow Boolean logic and arithmetic using binary numerals to be implemented using relays — essentially, electrically controlled switches. Shannon's famous thesis showed how relays could be arranged to form units called logic gates, implementing simple Boolean operations. Others soon figured out that vacuum tubes — electronic devices, could be used instead. Vacuum tubes were originally used as a signal amplifier for radio and other applications, but were used in digital electronics as a very fast switch; when electricity is provided to one of the pins, current can flow through between the other two.
Through arrangements of logic gates, one can build digital circuits to do more complex tasks, for instance, an adder, which implements in electronics the same method — in computer terminology, an algorithm — to add two numbers together that children are taught — add one column at a time, and carry what's left over. Eventually, through combining circuits together, a complete ALU and control system can be built up. This does require a considerable number of components. CSIRAC, one of the earliest stored-program computers, is probably close to the smallest practically useful design. It had about 2,000 valves, some of which were "dual components", so this represented somewhere between 2,000 and 4,000 logic components.
Vacuum tubes had severe limitations for the construction of large numbers of gates. They were expensive, unreliable (particularly when used in such large quantities), took up a lot of space, and used a lot of electrical power, and, while incredibly fast compared to a mechanical switch, had limits to the speed at which they could operate. Therefore, by the 1960s they were replaced by the transistor, a new device which performed the same task as the tube but was much smaller, faster operating, reliable, used much less power, and was far cheaper.
In the 1960s and 1970s, the transistor itself was gradually replaced by the integrated circuit, which placed multiple transistors (and other components) and the wires connecting them on a single, solid piece of silicon. By the 1970s, the entire ALU and control unit, the combination becoming known as a CPU, were being placed on a single "chip" called a microprocessor. Over the history of the integrated circuit, the number of components that can be placed on one has grown enormously. The first IC's contained a few tens of components; as of 2006, the Intel Core Duo processor contains 151 million transistors.
Tubes, transistors, and transistors on integrated circuits can be used as the "storage" component of the stored-program architecture, using a circuit design known as a flip-flop, and indeed flip-flops are used for small amounts of very high-speed storage. However, few computer designs have used flip-flops for the bulk of their storage needs. Instead, earliest computers stored data in Williams tubes — essentially, projecting some dots on a TV screen and reading them again, or mercury delay lines where the data was stored as sound pulses travelling slowly (compared to the machine itself) along long tubes filled with mercury. These somewhat ungainly but effective methods were eventually replaced by magnetic memory devices, such as magnetic core memory, where electrical currents were used to introduce a permanent (but weak) magnetic field in some ferrous material, which could then be read to retrieve the data. Eventually, DRAM was introduced. A DRAM unit is a type of integrated circuit containing huge banks of an electronic component called a capacitor which can store an electrical charge for a period of time. The level of charge in a capacitor could be set to store information, and then measured to read the information when required.
I/O devices
I/O (short for input/output) is a general term for devices that send computers information from the outside world and that return the results of computations. These results can either be viewed directly by a user, or they can be sent to another machine, whose control has been assigned to the computer: In a robot, for instance, the controlling computer's major output device is the robot itself.
The first generation of computers were equipped with a fairly limited range of input devices. A punch card reader, or something similar, was used to enter instructions and data into the computer's memory, and some kind of printer, usually a modified teletype, was used to record the results. Over the years, other devices have been added. For the personal computer, for instance, keyboards and mice are the primary ways people directly enter information into the computer; and monitors are the primary way in which information from the computer is presented back to the user, though printers, speakers, and headphones are common, too. There is a huge variety of other devices for obtaining other types of input. One example is the digital camera, which can be used to input visual information. There are two prominent classes of I/O devices. The first class is that of secondary storage devices, such as hard disks, CD-ROMs, key drives and the like, which represent comparatively slow, but high-capacity devices, where information can be stored for later retrieval; the second class is that of devices used to access computer networks. The ability to transfer data between computers has opened up a huge range of capabilities for the computer. The global Internet allows millions of computers to transfer information of all types between each other.
Programs
Computer programs are simply lists of instructions for the computer to execute. These can range from just a few instructions which perform a simple task, to a much more complex instruction list which may also include tables of data. Many computer programs contain millions of instructions, and many of those instructions are executed repeatedly. A typical modern PC (in the year 2005) can execute around 3 billion instructions per second. Computers do not gain their extraordinary capabilities through the ability to execute complex instructions. Rather, they do millions of simple instructions arranged by people known as programmers.
Going from the extremely simple capabilities of a single machine language instruction to the myriad capabilities of application programs means that many computer programs are extremely large and complex. A typical example is Windows XP, created from roughly 40 million lines of computer code in the C++ programming language; there are many projects of even bigger scope, built by large teams of programmers. The management of this enormous complexity is key to making such projects possible; programming languages, and programming practices, enable the task to be divided into smaller and smaller subtasks until they come within the capabilities of a single programmer in a reasonable period.
Nevertheless, the process of developing software remains slow, unpredictable, and error-prone; the discipline of software engineering has attempted, with some success, to make the process quicker and more productive and improve the quality of the end product.
A problem or a model is computational if it is formalized in such way that can be transformed to the form of a computer program. Computationality is the serious research problem of humanistic, social and psychological sciences, for example, modern systemics, cognitive and socio-cognitive approaches develop different attempts to the computational specification of their "soft" knowledge.
Libraries and operating systems
Soon after the development of the computer, it was discovered that certain tasks were required in many different programs; an early example was computing some of the standard mathematical functions. For the purposes of efficiency, standard versions of these were collected in libraries and made available to all who required them. A particularly common task set related to handling the gritty details of "talking" to the various I/O devices, so libraries for these were quickly developed.
By the 1960s, with computers in wide industrial use for many purposes, it became common for them to be used for many different jobs within an organization. Soon, special software to automate the scheduling and execution of these many jobs became available. The combination of managing "hardware" and scheduling jobs became known as the "operating system"; the classic example of this type of early operating system was OS/360 by IBM.
The next major development in operating systems was timesharing — the idea that multiple users could use the machine "simultaneously" by keeping all of their programs in memory, executing each user's program for a short time so as to provide the illusion that each user had their own computer. Such a development required the operating system to provide each user's programs with a "virtual machine" such that one user's program could not interfere with another's (by accident or design). The range of devices that operating systems had to manage also expanded; a notable one was hard disks; the idea of individual "files" and a hierarchical structure of "directories" (now often called folders) greatly simplified the use of these devices for permanent storage. Security access controls, allowing computer users access only to files, directories and programs they had permissions to use, were also common.
Computer applications
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The first digital computers, with their large size and cost, mainly performed scientific calculations, often to support military objectives. The ENIAC was originally designed to calculate ballistics-firing tables for artillery, but it was also used to calculate neutron cross-sectional densities to help in the design of the hydrogen bomb significantly speeding up its development. (Many of the most powerful supercomputers available today are also used for nuclear weapons simulations.) The CSIR Mk I, the first Australian stored-program computer, was amongst many other tasks used for the evaluation of rainfall patterns for the catchment area of the Snowy Mountains Scheme, a large hydroelectric generation project Others were used in cryptanalysis, for example the first programmable (though not general-purpose) digital electronic computer, Colossus, built in 1943 during World War II. Despite this early focus of scientific and military engineering applications, computers were quickly used in other areas.
From the beginning, stored program computers were applied to business problems. The LEO, a stored program-computer built by J. Lyons and Co. in the United Kingdom, was operational and being used for inventory management and other purposes 3 years before IBM built their first commercial stored-program computer. Continual reductions in the cost and size of computers saw them adopted by ever-smaller organizations. Moreover, with the invention of the microprocessor in the 1970s, it became possible to produce inexpensive computers. In the 1980s, personal computers became popular for many tasks, including book-keeping, writing and printing documents, calculating forecasts and other repetitive mathematical tasks involving spreadsheets.
As computers have become less expensive, they have been used extensively in the creative arts as well. Sound, still pictures, and video are now routinely created (through synthesizers, computer graphics and computer animation), and near-universally edited by computer. They have also been used for entertainment, with the video game becoming a huge industry.
Computers have been used to control mechanical devices since they became small and cheap enough to do so; indeed, a major spur for integrated circuit technology was building a computer small enough to guide the Apollo missions two of the first major applications for embedded computers. Today, it is almost rarer to find a powered mechanical device not controlled by a computer than to find one that is at least partly so. Perhaps the most famous computer-controlled mechanical devices are robots, machines with more-or-less human appearance and some subset of their capabilities. Industrial robots have become commonplace in mass production, but general-purpose human-like robots have not lived up to the promise of their fictional counterparts and remain either toys or research projects.
Robotics, indeed, is the physical expression of the field of artificial intelligence, a discipline whose exact boundaries are fuzzy but to some degree involves attempting to give computers capabilities that they do not currently possess but humans do. Over the years, methods have been developed to allow computers to do things previously regarded as the exclusive domain of humans — for instance, "read" handwriting, play chess, or perform symbolic integration. However, progress on creating a computer that exhibits "general" intelligence comparable to a human has been extremely slow.
Networking and the Internet
Computers have been used to coordinate information in multiple locations since the 1950s, with the US military's SAGE system the first large-scale example of such a system, which led to a number of special-purpose commercial systems like Sabre.
In the 1970s, computer engineers at research institutions throughout the US began to link their computers together using telecommunications technology. This effort was funded by ARPA, and the computer network that it produced was called the ARPANET. 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. In the phrase of John Gage and Bill Joy (of Sun Microsystems), "the network is 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 ubiquitous almost everywhere. 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.
Alternative computing models
Despite the massive gains in speed and capacity over the history of the digital computer, there are many tasks for which current computers are inadequate. For some of these tasks, conventional computers are fundamentally inadequate, because the time taken to find a solution grows very quickly as the size of the problem to be solved expands. Therefore, there has been research interest in some computer models that use biological processes, or the oddities of quantum physics, to tackle these types of problems. For instance, DNA computing is proposed to use biological processes to solve certain problems. Because of the exponential division of cells, a DNA computing system could potentially tackle a problem in a massively parallel fashion. However, such a system is limited by the maximum practical mass of DNA that can be handled.
Quantum computers, as the name implies, take advantage of the unusual world of quantum physics. If a practical quantum computer is ever constructed, there are a limited number of problems for which the quantum computer is fundamentally faster than a standard computer. However, these problems, relating to cryptography and, unsurprisingly, quantum physics simulations, are of considerable practical interest.
These alternative models for computation remain research projects at the present time, and will likely find application only for those problems where conventional computers are inadequate.
See also Unconventional computing.
Computing professions and disciplines
In the developed world, virtually every profession makes use of computers. However, certain professional and academic disciplines have evolved that specialize in techniques to construct, program, and use computers. Terminology for different professional disciplines is still somewhat fluid and new fields emerge from time to time: however, some of the major groupings are as follows:
- Computer engineering is the branch of electrical engineering that focuses both on hardware and software design, and the interaction between the two.
- Computer science is a traditional name of the academic study of the processes related to computers and computation, such as developing efficient algorithms to perform specific class of tasks. It tackles questions as to whether problems can be solved at all using a computer, how efficiently they can be solved, and how to construct efficient programs to compute solutions. A huge array of specialties has developed within computer science to investigate different classes of problems.
- Software engineering concentrates on methodologies and practices to allow the development of high quality software systems, while minimizing, and reliably estimating, costs and timelines.
- Information systems concentrates on the use and deployment of computer systems in a wider organizational (usually business) context.
- Many disciplines have developed at the intersection of computers with other professions; one of many examples is experts in geographical information systems who apply computer technology to problems of managing geographical information.
There are three major professional societies dedicated to computers, the British Computer Society the Association for Computing Machinery and IEEE Computer Society.
See also
- Association for Computing Machinery
- The British Computer Society
- IEEE Computer Society
- Operating system
- Computer hardware
- Computability theory
- Computer datasheet
- Computer expo
- Computer science
- Computer types: analog computer, hybrid computer, supercomputer (along with the minisupercomputer), mainframe computer, workstation computers, laptop, roll-away computer, embedded computer, cart computer, tablet pc, handheld computer, subnotebook, thin client, minicomputer (and the supermini), microcomputer, computer terminal, and server
- Computing
- Computers in fiction
- Computer music
- Computer security and Computer insecurity challenges such as: malware, phishing, spam (electronic), and how to solve them, such as firewall, computer security audit
- Digital
- History of computing
- List of computer term etymologies
- List of computing topics
- Personal computer
- Word processing
- Internet
- Computer programming
Other computers
- Analog computer
- Chemical computer
- DNA computer
- Human computer
- Molecular computer
- Optical computer
- Quantum computer
- Wetware computer
See also Unconventional computing.
Notes and references
- The last of the first : CSIRAC : Australia's first computer, Doug McCann and Peter Thorne, ISBN 0-7340-2024-4.
- Thon, Harald and Töpel, Bert (January 16, 2006). "Will Core Duo Notebooks Trade Battery Life For Quicker Response?". Tom's Hardware. Retrieved 2006-04-09.
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: CS1 maint: multiple names: authors list (link) CS1 maint: year (link) - Tanenbaum, Andrew S. Modern Operating Systems (2nd ed.). Prentice Hall. ISBN 0-13-092641-8.
- Gadomski Adam Maria (1993). "TOGA Meta-theory". ENEA. Retrieved 2006-07-24.
- "System/360 Announcement" (Press release). IBM Data Processing Division. April 7, 1964.
- "Classical Super / Runaway Super". Globalsecurity.org. Unknown. Retrieved 2006-04-05.
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(help)CS1 maint: year (link) - The last of the first : CSIRAC : Australia's first computer, Doug McCann and Peter Thorne, ISBN 0-7340-2024-4.
- Brown, Alexander (August 22, 2002). "Integrated Circuits in the Apollo Guidance Computer". Retrieved 2006-04-05.
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: CS1 maint: year (link) - "Technological Innovation and the ICBM". Smithsonian Institution. Unknown. Retrieved 2006-04-05.
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(help)CS1 maint: year (link) - "North America Internet Usage Stats". Internet World Stats. April 3, 2006. Retrieved 2006-04-05.
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External links
- Computer History
- CBC Digital Archives – Computer Invasion: A History of Automation in Canada
- AsusReviews.com Computer Forum