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"context": "It is\nas if there were a big wall between the hardware (the computer and how it actu-\nally works) and the software (the programs that direct the computer to do their\nbidding), and that one should be content to remain on one side of that wall or\nthe other.\nThe power of abstraction allows us to usually operate at a level where we\ndo not have to think about the underlying layers all the time. This is a good thing."
} |
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"context": "The power of abstraction allows us to usually operate at a level where we\ndo not have to think about the underlying layers all the time. This is a good thing.\nIt enables us to be more productive. But if we are clueless about the underlying\nlayers, then we are not able to take advantage of the nuances of those underlying\nlayers when it is very important to be able to.\nThat is not to say that you must work at the lower level of abstraction and not\ntake advantage of the productivity enhancements that the abstractions provide."
} |
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"context": "But if we are clueless about the underlying\nlayers, then we are not able to take advantage of the nuances of those underlying\nlayers when it is very important to be able to.\nThat is not to say that you must work at the lower level of abstraction and not\ntake advantage of the productivity enhancements that the abstractions provide.\nOn the contrary, you are encouraged to work at the highest level of abstraction\navailable to you."
} |
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"context": "That is not to say that you must work at the lower level of abstraction and not\ntake advantage of the productivity enhancements that the abstractions provide.\nOn the contrary, you are encouraged to work at the highest level of abstraction\navailable to you. But in doing so, if you are able to, at the same time, keep in\nmind the underlying levels, you will nd yourself able to do a much better job."
} |
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"context": "On the contrary, you are encouraged to work at the highest level of abstraction\navailable to you. But in doing so, if you are able to, at the same time, keep in\nmind the underlying levels, you will nd yourself able to do a much better job.\nAs you approach your study and practice of computing, we urge you to take\nthe approach that hardware and software are names for components of two parts\nof a computing system that work best when they are designed by people who take\ninto account the capabilities and limitations of both."
} |
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"context": "But in doing so, if you are able to, at the same time, keep in\nmind the underlying levels, you will nd yourself able to do a much better job.\nAs you approach your study and practice of computing, we urge you to take\nthe approach that hardware and software are names for components of two parts\nof a computing system that work best when they are designed by people who take\ninto account the capabilities and limitations of both.\nMicroprocessor designers who understand the needs of the programs that\nwill execute on the microprocessor they are designing can design much more\neective microprocessors than those who dont."
} |
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} | {
"context": "As you approach your study and practice of computing, we urge you to take\nthe approach that hardware and software are names for components of two parts\nof a computing system that work best when they are designed by people who take\ninto account the capabilities and limitations of both.\nMicroprocessor designers who understand the needs of the programs that\nwill execute on the microprocessor they are designing can design much more\neective microprocessors than those who dont. For example, Intel, AMD, ARM,\nand other major producers of microprocessors recognized a few years ago that a\nlarge fraction of future programs would contain video clips as part of e-mail,\nvideo games, and full-length movies."
} |
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"context": "Microprocessor designers who understand the needs of the programs that\nwill execute on the microprocessor they are designing can design much more\neective microprocessors than those who dont. For example, Intel, AMD, ARM,\nand other major producers of microprocessors recognized a few years ago that a\nlarge fraction of future programs would contain video clips as part of e-mail,\nvideo games, and full-length movies. They recognized that it would be impor-\ntant for such programs to execute eciently."
} |
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} | {
"context": "For example, Intel, AMD, ARM,\nand other major producers of microprocessors recognized a few years ago that a\nlarge fraction of future programs would contain video clips as part of e-mail,\nvideo games, and full-length movies. They recognized that it would be impor-\ntant for such programs to execute eciently. The result: most microprocessors\ntoday contain special hardware capability to process those video clips."
} |
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"context": "They recognized that it would be impor-\ntant for such programs to execute eciently. The result: most microprocessors\ntoday contain special hardware capability to process those video clips. Intel\ndened additional instructions, initially called their MMX instruction set, and\ndeveloped special hardware for it. Motorola, IBM, and Apple did essentially\nthe same thing, resulting in the AltiVec instruction set and special hardware to\nsupport it."
} |
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"context": "Intel\ndened additional instructions, initially called their MMX instruction set, and\ndeveloped special hardware for it. Motorola, IBM, and Apple did essentially\nthe same thing, resulting in the AltiVec instruction set and special hardware to\nsupport it.\nA similar story can be told about software designers. The designer of a large\ncomputer program who understands the capabilities and limitations of the hard-\nware that will carry out the tasks of that program can design the program so it\nexecutes more eciently than the designer who does not understand the nature of\nthe hardware."
} |
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"context": "A similar story can be told about software designers. The designer of a large\ncomputer program who understands the capabilities and limitations of the hard-\nware that will carry out the tasks of that program can design the program so it\nexecutes more eciently than the designer who does not understand the nature of\nthe hardware. One important task that almost all large software systems need to\ncarry out is called sorting, where a number of items have to be arranged in some\norder."
} |
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} | {
"context": " The designer of a large\ncomputer program who understands the capabilities and limitations of the hard-\nware that will carry out the tasks of that program can design the program so it\nexecutes more eciently than the designer who does not understand the nature of\nthe hardware. One important task that almost all large software systems need to\ncarry out is called sorting, where a number of items have to be arranged in some\norder"
} |
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"context": "A similar story can be told about software designers. The designer of a large\ncomputer program who understands the capabilities and limitations of the hard-\nware that will carry out the tasks of that program can design the program so it\nexecutes more eciently than the designer who does not understand the nature of\nthe hardware. One important task that almost all large software systems need to\ncarry out is called sorting, where a number of items have to be arranged in some\norder."
} |
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} | {
"context": "The designer of a large\ncomputer program who understands the capabilities and limitations of the hard-\nware that will carry out the tasks of that program can design the program so it\nexecutes more eciently than the designer who does not understand the nature of\nthe hardware. One important task that almost all large software systems need to\ncarry out is called sorting, where a number of items have to be arranged in some\norder. The words in a dictionary are arranged in alphabetical order."
} |
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"context": "One important task that almost all large software systems need to\ncarry out is called sorting, where a number of items have to be arranged in some\norder. The words in a dictionary are arranged in alphabetical order. Students in\na class are often graded based on a numerical order, according to their scores\non the nal exam. There is a large number of fundamentally dierent programs\none can write to arrange a collection of items in order."
} |
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} | {
"context": " Students in\na class are often graded based on a numerical order, according to their scores\non the nal exam. There is a large number of fundamentally dierent programs\none can write to arrange a collection of items in order. Donald Knuth, one of the"
} |
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"context": "top computer scientists in the world, devoted 391 pages to the task in The Art\nof Computer Programming, vol. 3. Which sorting program works best is often\nvery dependent on how much the software designer is aware of the underlying\ncharacteristics of the hardware.\nThe Bottom Line\nWe believe that whether your inclinations are in the direction\nof a computer hardware career or a computer software career, you will be much\nmore capable if you master both."
} |
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} | {
"context": "Which sorting program works best is often\nvery dependent on how much the software designer is aware of the underlying\ncharacteristics of the hardware.\nThe Bottom Line\nWe believe that whether your inclinations are in the direction\nof a computer hardware career or a computer software career, you will be much\nmore capable if you master both. This book is about getting you started on the\npath to mastering both hardware and software."
} |
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} | {
"context": "The Bottom Line\nWe believe that whether your inclinations are in the direction\nof a computer hardware career or a computer software career, you will be much\nmore capable if you master both. This book is about getting you started on the\npath to mastering both hardware and software. Although we sometimes ignore\nmaking the point explicitly when we are in the trenches of working through a\nconcept, it really is the case that each sheds light on the other."
} |
557766 | [
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} | {
"context": "This book is about getting you started on the\npath to mastering both hardware and software. Although we sometimes ignore\nmaking the point explicitly when we are in the trenches of working through a\nconcept, it really is the case that each sheds light on the other.\nWhen you study data types, a software concept, in C (Chapter 12), you will\nunderstand how the nite word length of the computer, a hardware concept,\naects our notion of data types."
} |
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} | {
"context": "Although we sometimes ignore\nmaking the point explicitly when we are in the trenches of working through a\nconcept, it really is the case that each sheds light on the other.\nWhen you study data types, a software concept, in C (Chapter 12), you will\nunderstand how the nite word length of the computer, a hardware concept,\naects our notion of data types.\nWhen you study functions in C (Chapter 14), you will be able to tie the rules\nof calling a function with the hardware implementation that makes those rules\nnecessary."
} |
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} | {
"context": "When you study data types, a software concept, in C (Chapter 12), you will\nunderstand how the nite word length of the computer, a hardware concept,\naects our notion of data types.\nWhen you study functions in C (Chapter 14), you will be able to tie the rules\nof calling a function with the hardware implementation that makes those rules\nnecessary.\nWhen you study recursion, a powerful algorithmic device (initially in\nChapter 8 and more extensively in Chapter 17), you will be able to tie it to the\nhardware."
} |
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} | {
"context": "When you study functions in C (Chapter 14), you will be able to tie the rules\nof calling a function with the hardware implementation that makes those rules\nnecessary.\nWhen you study recursion, a powerful algorithmic device (initially in\nChapter 8 and more extensively in Chapter 17), you will be able to tie it to the\nhardware. If you take the time to do that, you will better understand when the\nadditional time to execute a procedure recursively is worth it."
} |
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} | {
"context": "When you study recursion, a powerful algorithmic device (initially in\nChapter 8 and more extensively in Chapter 17), you will be able to tie it to the\nhardware. If you take the time to do that, you will better understand when the\nadditional time to execute a procedure recursively is worth it.\nWhen you study pointer variables in C (in Chapter 16), your knowledge of\ncomputer memory will provide a deeper understanding of what pointers pro-\nvide, and very importantly, when they should be used and when they should be\navoided."
} |
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} | {
"context": "If you take the time to do that, you will better understand when the\nadditional time to execute a procedure recursively is worth it.\nWhen you study pointer variables in C (in Chapter 16), your knowledge of\ncomputer memory will provide a deeper understanding of what pointers pro-\nvide, and very importantly, when they should be used and when they should be\navoided.\nWhen you study data structures in C (in Chapter 19), your knowledge of com-\nputer memory will help you better understand what must be done to manipulate\nthe actual structures in memory eciently."
} |
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} | {
"context": "When you study pointer variables in C (in Chapter 16), your knowledge of\ncomputer memory will provide a deeper understanding of what pointers pro-\nvide, and very importantly, when they should be used and when they should be\navoided.\nWhen you study data structures in C (in Chapter 19), your knowledge of com-\nputer memory will help you better understand what must be done to manipulate\nthe actual structures in memory eciently.\nWe realize that most of the terms in the preceding ve short paragraphs may\nnot be familiar to you yet."
} |
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} | {
"context": "When you study data structures in C (in Chapter 19), your knowledge of com-\nputer memory will help you better understand what must be done to manipulate\nthe actual structures in memory eciently.\nWe realize that most of the terms in the preceding ve short paragraphs may\nnot be familiar to you yet. That is OK; you can reread this page at the end of the\nsemester. What is important to know right now is that there are important topics\nin the software that are very deeply interwoven with topics in the hardware."
} |
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"context": "That is OK; you can reread this page at the end of the\nsemester. What is important to know right now is that there are important topics\nin the software that are very deeply interwoven with topics in the hardware. Our\ncontention is that mastering either is easier if you pay attention to both.\nMost importantly, most computing problems yield better solutions when the\nproblem solver has the capability of both at his or her disposal."
} |
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"context": "Our\ncontention is that mastering either is easier if you pay attention to both.\nMost importantly, most computing problems yield better solutions when the\nproblem solver has the capability of both at his or her disposal.\n1.4 A Computer System\nWe have used the word computer more than two dozen times in the preceding\npages, and although we did not say so explicitly, we used it to mean a system\nconsisting of the software (i."
} |
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"context": "1.4 A Computer System\nWe have used the word computer more than two dozen times in the preceding\npages, and although we did not say so explicitly, we used it to mean a system\nconsisting of the software (i.e., computer programs) that directs and species the\nprocessing of information and the hardware that performs the actual processing\nof information in response to what the software asks the hardware to do."
} |
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"context": "e., computer programs) that directs and species the\nprocessing of information and the hardware that performs the actual processing\nof information in response to what the software asks the hardware to do. When\nwe say performing the actual processing, we mean doing the actual additions,\nmultiplications, and so forth in the hardware that are necessary to get the job"
} |
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"context": "done. A more precise term for this hardware is a central processing unit (CPU),\nor simply a processor or microprocessor. This textbook is primarily about the\nprocessor and the programs that are executed by the processor.\n1.4.1 A (Very) Little History for a (Lot) Better Perspective\nBefore we get into the detail of how the processor and the software associated\nwith it work, we should take a moment and note the enormous and unparalleled\nleaps of performance that the computing industry has made in the relatively short\ntime computers have been around."
} |
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"context": "4.1 A (Very) Little History for a (Lot) Better Perspective\nBefore we get into the detail of how the processor and the software associated\nwith it work, we should take a moment and note the enormous and unparalleled\nleaps of performance that the computing industry has made in the relatively short\ntime computers have been around. After all, it wasnt until the 1940s that the\nfirst computers showed their faces."
} |
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} | {
"context": "1 A (Very) Little History for a (Lot) Better Perspective\nBefore we get into the detail of how the processor and the software associated\nwith it work, we should take a moment and note the enormous and unparalleled\nleaps of performance that the computing industry has made in the relatively short\ntime computers have been around. After all, it wasnt until the 1940s that the\nfirst computers showed their faces. One of the first computers was the ENIAC\n(the Electronic Numerical Integrator and Calculator), a general purpose electronic\ncomputer that could be reprogrammed for different tasks."
} |
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} | {
"context": "After all, it wasnt until the 1940s that the\nfirst computers showed their faces. One of the first computers was the ENIAC\n(the Electronic Numerical Integrator and Calculator), a general purpose electronic\ncomputer that could be reprogrammed for different tasks. It was designed and built\nin 19431945 attheUniversityofPennsylvaniabyPresperEckertandhiscolleagues.\nIt contained more than 17,000 vacuum tubes."
} |
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} | {
"context": "It was designed and built\nin 19431945 attheUniversityofPennsylvaniabyPresperEckertandhiscolleagues.\nIt contained more than 17,000 vacuum tubes. It was approximately 8 feet high, more\nthan 100 feet wide, and about 3 feet deep (about 300 square feet of floor space). It\nweighed 30 tons and required 140 kW to operate. Figure 1.1 shows three operators\nprogramming the ENIAC by plugging and unplugging cables and switches."
} |
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} | {
"context": "Figure 1.1 shows three operators\nprogramming the ENIAC by plugging and unplugging cables and switches.\nAbout 40 years and many computer companies and computers later, in the\nearly 1980s, the Burroughs A series was born. One of the dozen or so 18-inch\noards that comprise that machine is shown in Figure 1.2. Each board contained\nFigure 1.1\nThe ENIAC, designed and built at University of Pennsylvania, 194345."
} |
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} | {
"context": "Figure 1.2\nA processor board, vintage 1980s. Courtesy of Emilio Salguerio\nFast forward another 30 or so years and we nd many of todays computers on\ndesktops (Figure 1.3), in laptops (Figure 1.4), and most recently in smartphones\n(Figure 1.5). Their relative weights and energy requirements have decreased\nenormousl\nand the s eed at which the\nrocess information has also increased\neno\nhow\ncom\nFigu\nA de\ncJo\nFutu\nShutterstock."
} |
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"context": "5). Their relative weights and energy requirements have decreased\nenormousl\nand the s eed at which the\nrocess information has also increased\neno\nhow\ncom\nFigu\nA de\ncJo\nFutu\nShutterstock"
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} | {
"context": "10\nc\nFigure 1.6\nA microprocessor. cPeter Gudella/Shutterstock\nThe integrated circuit packages that comprise modern digital computers have\nalso seen phenomenal improvement. An example of one of todays microproces-\nsors is shown in Figure 1.6. The rst microprocessor, the Intel 4004 in 1971,\ncontained 2300 transistors and operated at 106 KHz. By 1992, those numbers\nhad jumped to 3.1 million transistors at a frequency of 66 MHz on the Intel\nPentium microprocessor, an increase in both parameters of a factor of about 1000."
} |
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} | {
"context": "By 1992, those numbers\nhad jumped to 3.1 million transistors at a frequency of 66 MHz on the Intel\nPentium microprocessor, an increase in both parameters of a factor of about 1000.\nTodays microprocessors contain upwards of ve billion transistors and can oper-\nate at upwards of 4 GHz, another increase in both parameters of about a factor\nof 1000.\nThis factor of one million since 1971 in both the number of transistors and\nthe frequency that the microprocessor operates at has had very important impli-\ncations."
} |
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} | {
"context": "Todays microprocessors contain upwards of ve billion transistors and can oper-\nate at upwards of 4 GHz, another increase in both parameters of about a factor\nof 1000.\nThis factor of one million since 1971 in both the number of transistors and\nthe frequency that the microprocessor operates at has had very important impli-\ncations. The fact that each operation can be performed in one millionth of the\ntime it took in 1971 means the microprocessor can do one million things today\nin the time it took to do one thing in 1971."
} |
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} | {
"context": "This factor of one million since 1971 in both the number of transistors and\nthe frequency that the microprocessor operates at has had very important impli-\ncations. The fact that each operation can be performed in one millionth of the\ntime it took in 1971 means the microprocessor can do one million things today\nin the time it took to do one thing in 1971. The fact that there are more than a\nmillion times as many transistors on a chip means we can do a lot more things at\nthe same time today than we could in 1971."
} |
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"context": "The fact that each operation can be performed in one millionth of the\ntime it took in 1971 means the microprocessor can do one million things today\nin the time it took to do one thing in 1971. The fact that there are more than a\nmillion times as many transistors on a chip means we can do a lot more things at\nthe same time today than we could in 1971.\nThe result of all this is we have today computers that seem able to understand\nthe languages people speak English, Spanish, Chinese, for example."
} |
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"context": "The fact that there are more than a\nmillion times as many transistors on a chip means we can do a lot more things at\nthe same time today than we could in 1971.\nThe result of all this is we have today computers that seem able to understand\nthe languages people speak English, Spanish, Chinese, for example. We have\ncomputers that seem able to recognize faces. Many see this as the magic of arti-\ncial intelligence."
} |
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"context": "We have\ncomputers that seem able to recognize faces. Many see this as the magic of arti-\ncial intelligence. We will see as we get into the details of how a computer works\nthat much of what appears to be magic is really due to how blazingly fast very\nsimple mindless operations (many at the same time) can be carried out.\n1.4.2 The Parts of a Computer System\nWhen most people use the word computer, they usually mean more than just\nthe processor (i."
} |
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} | {
"context": "4.2 The Parts of a Computer System\nWhen most people use the word computer, they usually mean more than just\nthe processor (i.e., CPU) that is in charge of doing what the software directs."
} |
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"context": "They usually mean the collection of parts that in combination form their computer\nsystem. Today that computer system is often a laptop (see Figure 1.4), augmented\nwith many additional devices.\nA computer system generally includes, in addition to the processor, a key-\nboard for typing commands, a mouse or keypad or joystick for positioning on\nmenu entries, a monitor for displaying information that the computer system has\nproduced, memory for temporarily storing information, disks and USB memory\nsticks of one sort or another for storing information for a very long time, even after\nthe computer has been turned o, connections to other devices such as a printer\nfor obtaining paper copies of that information, and the collection of programs\n(the software) that the user wishes to execute."
} |
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"context": "4), augmented\nwith many additional devices.\nA computer system generally includes, in addition to the processor, a key-\nboard for typing commands, a mouse or keypad or joystick for positioning on\nmenu entries, a monitor for displaying information that the computer system has\nproduced, memory for temporarily storing information, disks and USB memory\nsticks of one sort or another for storing information for a very long time, even after\nthe computer has been turned o, connections to other devices such as a printer\nfor obtaining paper copies of that information, and the collection of programs\n(the software) that the user wishes to execute.\nAll these items help computer users to do their jobs."
} |
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} | {
"context": "A computer system generally includes, in addition to the processor, a key-\nboard for typing commands, a mouse or keypad or joystick for positioning on\nmenu entries, a monitor for displaying information that the computer system has\nproduced, memory for temporarily storing information, disks and USB memory\nsticks of one sort or another for storing information for a very long time, even after\nthe computer has been turned o, connections to other devices such as a printer\nfor obtaining paper copies of that information, and the collection of programs\n(the software) that the user wishes to execute.\nAll these items help computer users to do their jobs. Without a printer, for\nexample, the user would have to copy by hand what is displayed on the monitor."
} |
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} | {
"context": "All these items help computer users to do their jobs. Without a printer, for\nexample, the user would have to copy by hand what is displayed on the monitor.\nWithout a mouse, keypad, or joystick, the user would have to type each command,\nrather than simply position the mouse, keypad, or joystick.\nSo, as we begin our journey, which focuses on the CPU that occupies a small\nfraction of 1 square inch of silicon and the software that makes the CPU do our\nbidding, we note that the computer systems we use contain a lot of additional\ncomponents."
} |
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"context": "Without a mouse, keypad, or joystick, the user would have to type each command,\nrather than simply position the mouse, keypad, or joystick.\nSo, as we begin our journey, which focuses on the CPU that occupies a small\nfraction of 1 square inch of silicon and the software that makes the CPU do our\nbidding, we note that the computer systems we use contain a lot of additional\ncomponents.\n1."
} |
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} | {
"context": "So, as we begin our journey, which focuses on the CPU that occupies a small\nfraction of 1 square inch of silicon and the software that makes the CPU do our\nbidding, we note that the computer systems we use contain a lot of additional\ncomponents.\n1.5 Two Very Important Ideas\nBefore we leave this rst chapter, there are two very important ideas that we\nwould like you to understand, ideas that are at the core of what computing is all\nabout."
} |
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} | {
"context": "1.5 Two Very Important Ideas\nBefore we leave this rst chapter, there are two very important ideas that we\nwould like you to understand, ideas that are at the core of what computing is all\nabout.\nIdea 1:\nAll computers (the biggest and the smallest, the fastest and the\nslowest, the most expensive and the cheapest) are capable of comput-\ning exactly the same things if they are given enough time and enough\nmemory."
} |
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} | {
"context": "5 Two Very Important Ideas\nBefore we leave this rst chapter, there are two very important ideas that we\nwould like you to understand, ideas that are at the core of what computing is all\nabout.\nIdea 1:\nAll computers (the biggest and the smallest, the fastest and the\nslowest, the most expensive and the cheapest) are capable of comput-\ning exactly the same things if they are given enough time and enough\nmemory. That is, anything a fast computer can do, a slow computer can\ndo also."
} |
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} | {
"context": "Idea 1:\nAll computers (the biggest and the smallest, the fastest and the\nslowest, the most expensive and the cheapest) are capable of comput-\ning exactly the same things if they are given enough time and enough\nmemory. That is, anything a fast computer can do, a slow computer can\ndo also. The slow computer just does it more slowly. A more expensive\ncomputer cannot gure out something that a cheaper computer is unable\nto gure out as long as the cheaper computer can access enough mem-\nory."
} |
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} | {
"context": "The slow computer just does it more slowly. A more expensive\ncomputer cannot gure out something that a cheaper computer is unable\nto gure out as long as the cheaper computer can access enough mem-\nory. (You may have to go to the store to buy more memory whenever it\nruns out of memory in order to keep increasing memory.) All computers\ncan do exactly the same things. Some computers can do things faster,\nbut none can do more than any other."
} |
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} | {
"context": ") All computers\ncan do exactly the same things. Some computers can do things faster,\nbut none can do more than any other.\nIdea 2:\nWe describe our problems in English or some other language\nspoken by people. Yet the problems are solved by electrons running\naround inside the computer. It is necessary to transform our problem\nfrom the language of humans to the voltages that inuence the ow of\nelectrons."
} |
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"context": "Yet the problems are solved by electrons running\naround inside the computer. It is necessary to transform our problem\nfrom the language of humans to the voltages that inuence the ow of\nelectrons. This transformation is really a sequence of systematic trans-\nformations, developed and improved over the last 70 years, which\ncombine to give the computer the ability to carry out what appear to."
} |
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"context": " It is necessary to transform our problem\nfrom the language of humans to the voltages that inuence the ow of\nelectrons. This transformation is really a sequence of systematic trans-\nformations, developed and improved over the last 70 years, which\ncombine to give the computer the ability to carry out what appear to"
} |
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"context": "be some very complicated tasks. In reality, these tasks are simple and\nstraightforward.\nThe rest of this chapter is devoted to discussing these two ideas.\n1.6 Computers as Universal\nComputational Devices\nIt may seem strange that an introductory textbook begins by describing how\ncomputers work. After all, mechanical engineering students begin by studying\nphysics, not how car engines work."
} |
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"context": "6 Computers as Universal\nComputational Devices\nIt may seem strange that an introductory textbook begins by describing how\ncomputers work. After all, mechanical engineering students begin by studying\nphysics, not how car engines work. Chemical engineering students begin by\nstudying chemistry, not oil reneries. Why should computing students begin by\nstudying computers?\nThe answer is that computers are dierent."
} |
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} | {
"context": "Chemical engineering students begin by\nstudying chemistry, not oil reneries. Why should computing students begin by\nstudying computers?\nThe answer is that computers are dierent. To learn the fundamental prin-\nciples of computing, you must study computers or machines that can do what\ncomputers can do. The reason for this has to do with the notion that computers\nare universal computational devices."
} |
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} | {
"context": "To learn the fundamental prin-\nciples of computing, you must study computers or machines that can do what\ncomputers can do. The reason for this has to do with the notion that computers\nare universal computational devices. Lets see what that means.\nBefore modern computers, there were many kinds of calculating machines.\nSome were analog machinesmachines that produced an answer by measuring\nsome physical quantity such as distance or voltage."
} |
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} | {
"context": "Before modern computers, there were many kinds of calculating machines.\nSome were analog machinesmachines that produced an answer by measuring\nsome physical quantity such as distance or voltage. For example, a slide rule is\nan analog machine that multiplies numbers by sliding one logarithmically graded\nruler next to another. The user can read a logarithmic distance on the sec-\nond ruler."
} |
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} | {
"context": "For example, a slide rule is\nan analog machine that multiplies numbers by sliding one logarithmically graded\nruler next to another. The user can read a logarithmic distance on the sec-\nond ruler. Some early analog adding machines worked by dropping weights on a\nscale. The diculty with analog machines is that it is very hard to increase their\naccuracy.\nThis is why digital machinesmachines that perform computations by\nmanipulating a xed nite set of digits or letterscame to dominate comput-\ning."
} |
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} | {
"context": "The diculty with analog machines is that it is very hard to increase their\naccuracy.\nThis is why digital machinesmachines that perform computations by\nmanipulating a xed nite set of digits or letterscame to dominate comput-\ning. You are familiar with the distinction between analog and digital watches. An\nanalog watch has hour and minute hands, and perhaps a second hand. It gives\nthe time by the positions of its hands, which are really angular measures."
} |
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"indices": [
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"values": [
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} | {
"context": "An\nanalog watch has hour and minute hands, and perhaps a second hand. It gives\nthe time by the positions of its hands, which are really angular measures. Digital\nwatches give the time in digits. You can increase accuracy just by adding more\ndigits. For example, if it is important for you to measure time in hundredths of\na second, you can buy a watch that gives a reading like 10:35.16 rather than just\n10:35."
} |
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} | {
"context": "For example, if it is important for you to measure time in hundredths of\na second, you can buy a watch that gives a reading like 10:35.16 rather than just\n10:35. How would you get an analog watch that would give you an accurate read-\ning to one one-hundredth of a second? You could do it, but it would take a mighty\nlong second hand! When we talk about computers in this book, we will always\nmean digital machines."
} |
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} | {
"context": "16 rather than just\n10:35. How would you get an analog watch that would give you an accurate read-\ning to one one-hundredth of a second? You could do it, but it would take a mighty\nlong second hand! When we talk about computers in this book, we will always\nmean digital machines.\nBefore modern digital computers, the most common digital machines in the\nWest were adding machines. In other parts of the world another digital machine,\nthe abacus, was common."
} |
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} | {
"context": "Before modern digital computers, the most common digital machines in the\nWest were adding machines. In other parts of the world another digital machine,\nthe abacus, was common. Digital adding machines were mechanical or elec-\ntromechanical devices that could perform a specic kind of computation: adding\nintegers. There were also digital machines that could multiply integers. There\nwere digital machines that could put a stack of cards with punched names in\nalphabetical order."
} |
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"indices": [
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"values": [
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} | {
"context": " There were also digital machines that could multiply integers. There\nwere digital machines that could put a stack of cards with punched names in\nalphabetical order. The main limitation of all these machines is that they could\ndo only one specic kind of computation. If you owned only an adding machine"
} |
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} | {
"context": "and wanted to multiply two integers, you had some pencil-and-paper work\nto do.\nThis is why computers are dierent. You can tell a computer how to add num-\nbers. You can tell it how to multiply. You can tell it how to alphabetize a list or\nperform any computation you like. When you think of a new kind of computation,\nyou do not have to buy or design a new computer. You just give the old computer\na new set of instructions (a program) to carry out the new computation."
} |
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} | {
"context": "When you think of a new kind of computation,\nyou do not have to buy or design a new computer. You just give the old computer\na new set of instructions (a program) to carry out the new computation. This is\nwhy we say the computer is a universal computational device. Computer scien-\ntists believe that anything that can be computed, can be computed by a computer\nprovided it has enough time and enough memory."
} |
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} | {
"context": "This is\nwhy we say the computer is a universal computational device. Computer scien-\ntists believe that anything that can be computed, can be computed by a computer\nprovided it has enough time and enough memory. When we study computers, we\nstudy the fundamentals of all computing. We learn what computation is and what\ncan be computed.\nThe idea of a universal computational device is due to Alan Turing."
} |
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} | {
"context": "We learn what computation is and what\ncan be computed.\nThe idea of a universal computational device is due to Alan Turing. Turing\nproposed in 1937 that all computations could be carried out by a particular kind of\nmachine, which is now called a Turing machine. He gave a mathematical descrip-\ntion of this kind of machine, but did not actually build one. Digital computers\nwere not operating until several years later."
} |
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"context": "He gave a mathematical descrip-\ntion of this kind of machine, but did not actually build one. Digital computers\nwere not operating until several years later. Turing was more interested in solv-\ning a philosophical problem: dening computation. He began by looking at the\nkinds of actions that people perform when they compute; these include making\nmarks on paper, writing symbols according to certain rules when other symbols\nare present, and so on."
} |
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"context": "Turing was more interested in solv-\ning a philosophical problem: dening computation. He began by looking at the\nkinds of actions that people perform when they compute; these include making\nmarks on paper, writing symbols according to certain rules when other symbols\nare present, and so on. He abstracted these actions and specied a mechanism that\ncould carry them out. He gave some examples of the kinds of things that these\nmachines could do."
} |
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"context": "He abstracted these actions and specied a mechanism that\ncould carry them out. He gave some examples of the kinds of things that these\nmachines could do. One Turing machine could add two integers; another could\nmultiply two integers.\nFigure 1.7 shows what we call black box models of Turing machines that\nadd and multiply. In each case, the operation to be performed is described in\nthe box."
} |
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} | {
"context": "7 shows what we call black box models of Turing machines that\nadd and multiply. In each case, the operation to be performed is described in\nthe box. The data elements on which to operate are shown as inputs to the box.\nThe r\nprovi\nthere\na, b\n(Turing machine\nthat adds)\n(Turing machine\nthat multiplies)\nFigure 1.7\nBlack box models of Turing machines.\nTuring proposed that every computation can be performed by some Turing\nmachine."
} |
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} | {
"context": "7\nBlack box models of Turing machines.\nTuring proposed that every computation can be performed by some Turing\nmachine. We call this Turings thesis. Although Turings thesis has never been\nproved, there does exist a lot of evidence to suggest it is true. We know, for exam-\nple, that various enhancements one can make to Turing machines do not result in\nmachines that can compute more.\nPerhaps the best argument to support Turings thesis was provided by Turing\nhimself in his original paper."
} |
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"context": "We know, for exam-\nple, that various enhancements one can make to Turing machines do not result in\nmachines that can compute more.\nPerhaps the best argument to support Turings thesis was provided by Turing\nhimself in his original paper. He said that one way to try to construct a machine\nmore powerful than any particular Turing machine was to make a machine U\nthat could simulate all Turing machines."
} |
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"context": "\nPerhaps the best argument to support Turings thesis was provided by Turing\nhimself in his original paper. He said that one way to try to construct a machine\nmore powerful than any particular Turing machine was to make a machine U\nthat could simulate all Turing machines. You would simply describe to U the"
} |
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"context": "particular Turing machine you wanted it to simulate, say a machine to add two\nintegers, give U the input data, and U would compute the appropriate output,\nin this case the sum of the inputs. Turing then showed that there was, in fact,\na Turing machine that could do this, so even this attempt to nd something that\ncould not be computed by Turing machines failed.\ne, f, g\nv\nTuring machine)\nFigure 1."
} |
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} | {
"context": "Turing then showed that there was, in fact,\na Turing machine that could do this, so even this attempt to nd something that\ncould not be computed by Turing machines failed.\ne, f, g\nv\nTuring machine)\nFigure 1.8\nBlack box model of a universal Turing machine.\nIn specifying U, Turing had provided us with a deep insight: He had given us\nthe rst description of what computers do. In fact, both a computer (with as much\nmemory as it wants) and a universal Turing machine can compute exactly the\nsame things."
} |
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} | {
"context": "In specifying U, Turing had provided us with a deep insight: He had given us\nthe rst description of what computers do. In fact, both a computer (with as much\nmemory as it wants) and a universal Turing machine can compute exactly the\nsame things. In both cases, you give the machine a description of a computation\nand the data it needs, and the machine computes the appropriate answer. Comput-\ners and universal Turing machines can compute anything that can be computed\nbecause they are programmable."
} |
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} | {
"context": "In both cases, you give the machine a description of a computation\nand the data it needs, and the machine computes the appropriate answer. Comput-\ners and universal Turing machines can compute anything that can be computed\nbecause they are programmable.\nThis is the reason that a big or expensive computer cannot do more than a\nsmall, cheap computer. More money may buy you a faster computer, a monitor\nwith higher resolution, or a nice sound system."
} |
162330 | [
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} | {
"context": "This is the reason that a big or expensive computer cannot do more than a\nsmall, cheap computer. More money may buy you a faster computer, a monitor\nwith higher resolution, or a nice sound system. But if you have a small, cheap\ncomputer, you already have a universal computational device.\n1.7 How Do We Get the Electrons to\nDo the Work?\nFigure 1.9 shows the process we must go through to get the electrons (which\nactually do the work) to do our bidding."
} |
284077 | [
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} | {
"context": "7 How Do We Get the Electrons to\nDo the Work?\nFigure 1.9 shows the process we must go through to get the electrons (which\nactually do the work) to do our bidding. We call the steps of this process the\nLevels of Transformation. As we will see, at each level we have choices. If we\nignore any of the levels, our ability to make the best use of our computing system\ncan be very adversely aected."
} |
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"context": "As we will see, at each level we have choices. If we\nignore any of the levels, our ability to make the best use of our computing system\ncan be very adversely aected.\n1.7.1 The Statement of the Problem\nWe describe the problems we wish to solve in a natural language. Natural lan-\nguages are languages that people speak, like English, French, Japanese, Italian,\nand so on. They have evolved over centuries in accordance with their usage."
} |
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"context": " Natural lan-\nguages are languages that people speak, like English, French, Japanese, Italian,\nand so on. They have evolved over centuries in accordance with their usage.\nThey are fraught with a lot of things unacceptable for providing instructions to a"
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} | {
"context": "15\nDevices\nFigure 1.9\nLevels of transformation.\ncomputer. Most important of these unacceptable attributes is ambiguity. Natural\nlanguage is lled with ambiguity. To infer the meaning of a sentence, a listener is\noften helped by the tone of voice of the speaker, or at the very least, the context\nof the sentence.\nAn example of ambiguity in English is the sentence, Time ies like an\narrow."
} |
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"context": "To infer the meaning of a sentence, a listener is\noften helped by the tone of voice of the speaker, or at the very least, the context\nof the sentence.\nAn example of ambiguity in English is the sentence, Time ies like an\narrow. At least three interpretations are possible, depending on whether (1) one is\nnoticing how fast time passes, (2) one is at a track meet for insects, or (3) one is\nwriting a letter to the Dear Abby of Insectville."
} |
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"context": "An example of ambiguity in English is the sentence, Time ies like an\narrow. At least three interpretations are possible, depending on whether (1) one is\nnoticing how fast time passes, (2) one is at a track meet for insects, or (3) one is\nwriting a letter to the Dear Abby of Insectville. In the rst case, a simile; one\nis comparing the speed of time passing to the speed of an arrow that has been\nreleased."
} |
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0.4418834306199022,
0.4418834306199022,
0.4418834306199022,
0.4418834306199022
]
} | {
"context": "At least three interpretations are possible, depending on whether (1) one is\nnoticing how fast time passes, (2) one is at a track meet for insects, or (3) one is\nwriting a letter to the Dear Abby of Insectville. In the rst case, a simile; one\nis comparing the speed of time passing to the speed of an arrow that has been\nreleased. In the second case, one is telling the timekeeper to do his/her job much\nlike an arrow would."
} |
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"context": "In the rst case, a simile; one\nis comparing the speed of time passing to the speed of an arrow that has been\nreleased. In the second case, one is telling the timekeeper to do his/her job much\nlike an arrow would. In the third case, one is relating that a particular group of\nies (time ies, as opposed to fruit ies) are all in love with the same arrow.\nSuch ambiguity would be unacceptable in instructions provided to a com-\nputer."
} |
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"context": "In the third case, one is relating that a particular group of\nies (time ies, as opposed to fruit ies) are all in love with the same arrow.\nSuch ambiguity would be unacceptable in instructions provided to a com-\nputer. The computer, electronic idiot that it is, can only do as it is told. To tell it to\ndo something where there are multiple interpretations would cause the computer\nto not know which interpretation to follow."
} |
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} | {
"context": " The computer, electronic idiot that it is, can only do as it is told. To tell it to\ndo something where there are multiple interpretations would cause the computer\nto not know which interpretation to follow."
} |