context
stringlengths 22
3.07k
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Certainly not as clean as what one can get when starting
from scratch. It also creates an issue whenever the student uses an instruction in
an exam or on an assignment that is not in the subset. Not very clean from a
pedagogical sense.
We wanted an ISA that was clean with no special cases to deal with, with as
few opcodes as necessary so the student could spend almost all his/her time on
the fundamental concepts in the course and very little time on the nuances of the
instruction set. | [
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] |
Not very clean from a
pedagogical sense.
We wanted an ISA that was clean with no special cases to deal with, with as
few opcodes as necessary so the student could spend almost all his/her time on
the fundamental concepts in the course and very little time on the nuances of the
instruction set. The formats of all instructions in the LC-3 t on a single page.
Appendix A provides all the details (i. | [
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] |
The formats of all instructions in the LC-3 t on a single page.
Appendix A provides all the details (i.e., the complete data sheet) of the entire
LC-3 ISA in 25 pages.
We also wanted an instruction set that in addition to containing only a few
instructions was very rich in the breadth of what it embraced. So, we came up
with the LC-3, an instruction set with only 15 four-bit opcodes, a small enough
number that students can absorb the ISA without even trying. | [
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] |
We also wanted an instruction set that in addition to containing only a few
instructions was very rich in the breadth of what it embraced. So, we came up
with the LC-3, an instruction set with only 15 four-bit opcodes, a small enough
number that students can absorb the ISA without even trying. For arithmetic, we
have only ADD instead of ADD, SUB, MUL, and DIV. For logical operations,
we have AND and NOT, foregoing OR, XOR, etc. | [
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] |
For arithmetic, we
have only ADD instead of ADD, SUB, MUL, and DIV. For logical operations,
we have AND and NOT, foregoing OR, XOR, etc. We have no shift or rotate
instructions. In all these cases, the missing opcodes can be implemented with
procedures using the few opcodes that the LC-3 provides. We have loads and
stores with three dierent addressing modes, each addressing mode useful for a
dierent purpose. | [
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] |
In all these cases, the missing opcodes can be implemented with
procedures using the few opcodes that the LC-3 provides. We have loads and
stores with three dierent addressing modes, each addressing mode useful for a
dierent purpose. We have conditional branches, subroutine calls, return from
trap or interrupt, and system calls (the TRAP instruction).
In fact, this sparse set of opcodes is a feature! It drives home the need for
creating more complex functionality out of simple operations, and the need for
abstraction, both of which are core concepts in the book. | [
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] |
We have conditional branches, subroutine calls, return from
trap or interrupt, and system calls (the TRAP instruction).
In fact, this sparse set of opcodes is a feature! It drives home the need for
creating more complex functionality out of simple operations, and the need for
abstraction, both of which are core concepts in the book.
Most importantly, we have found from discussions with hundreds of students
that starting with the LC-3 does not put them at a disadvantage in later courses. | [
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] |
In fact, this sparse set of opcodes is a feature! It drives home the need for
creating more complex functionality out of simple operations, and the need for
abstraction, both of which are core concepts in the book.
Most importantly, we have found from discussions with hundreds of students
that starting with the LC-3 does not put them at a disadvantage in later courses | [
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] |
In fact, this sparse set of opcodes is a feature! It drives home the need for
creating more complex functionality out of simple operations, and the need for
abstraction, both of which are core concepts in the book.
Most importantly, we have found from discussions with hundreds of students
that starting with the LC-3 does not put them at a disadvantage in later courses.
On the contrary: For example, at one campus students were introduced to ARM in
the follow-on course, while at another campus, students were introduced to x86. | [
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] |
Most importantly, we have found from discussions with hundreds of students
that starting with the LC-3 does not put them at a disadvantage in later courses.
On the contrary: For example, at one campus students were introduced to ARM in
the follow-on course, while at another campus, students were introduced to x86. | [
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] |
In both cases, students appreciated starting with the LC-3, and their subsequent
introduction to ARM or x86 was much easier as a result of their rst learning the
fundamental concepts with the LC-3.
A Few Observations
Having now taught the course more than 20 times between us, we note the
following:
Understanding, Not Memorizing
Since the course builds from the bottom up, we have found that less memorization
of seemingly arbitrary rules is required than in traditional programming courses.
Students understand that the rules make sense since by the time a topic is taught,
they have an awareness of how that topic is implemented at the levels below
it. | [
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] |
A Few Observations
Having now taught the course more than 20 times between us, we note the
following:
Understanding, Not Memorizing
Since the course builds from the bottom up, we have found that less memorization
of seemingly arbitrary rules is required than in traditional programming courses.
Students understand that the rules make sense since by the time a topic is taught,
they have an awareness of how that topic is implemented at the levels below
it. This approach is good preparation for later courses in design, where under-
standing of and insights gained from fundamental underpinnings are essential to
making the required design tradeos. | [
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] |
Students understand that the rules make sense since by the time a topic is taught,
they have an awareness of how that topic is implemented at the levels below
it. This approach is good preparation for later courses in design, where under-
standing of and insights gained from fundamental underpinnings are essential to
making the required design tradeos.
The Student Debugs the Students Program
We hear complaints from industry all the time about CS graduates not being able
to program. | [
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] |
This approach is good preparation for later courses in design, where under-
standing of and insights gained from fundamental underpinnings are essential to
making the required design tradeos.
The Student Debugs the Students Program
We hear complaints from industry all the time about CS graduates not being able
to program. Part of the problem is the helpful teaching assistant, who contributes
far too much of the intellectual content of the students program so the student
never has to really master the art. | [
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] |
The Student Debugs the Students Program
We hear complaints from industry all the time about CS graduates not being able
to program. Part of the problem is the helpful teaching assistant, who contributes
far too much of the intellectual content of the students program so the student
never has to really master the art. Our approach is to push the student to do the
job without the teaching assistant (TA). | [
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Part of the problem is the helpful teaching assistant, who contributes
far too much of the intellectual content of the students program so the student
never has to really master the art. Our approach is to push the student to do the
job without the teaching assistant (TA). Part of this comes from the bottom-up
approach, where memorizing is minimized and the student builds on what he/she
already knows. | [
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] |
Our approach is to push the student to do the
job without the teaching assistant (TA). Part of this comes from the bottom-up
approach, where memorizing is minimized and the student builds on what he/she
already knows. Part of this is the simulator, which the student uses from the day
he/she writes his/her rst program. The student is taught debugging from his/her
rst program and is required from the very beginning to use the debugging tools
of the simulator to get his/her programs to work. | [
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] |
Part of this is the simulator, which the student uses from the day
he/she writes his/her rst program. The student is taught debugging from his/her
rst program and is required from the very beginning to use the debugging tools
of the simulator to get his/her programs to work. The combination of the simulator
and the order in which the subject material is taught results in students actually
debugging their own programs instead of taking their programs to the TA for
help. | [
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The student is taught debugging from his/her
rst program and is required from the very beginning to use the debugging tools
of the simulator to get his/her programs to work. The combination of the simulator
and the order in which the subject material is taught results in students actually
debugging their own programs instead of taking their programs to the TA for
help ... with the too-frequent result that the TAs end up writing the programs for
the students. | [
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] |
. with the too-frequent result that the TAs end up writing the programs for
the students.
Preparation for the Future: Cutting Through Protective Layers
Professionals who use computers in systems today but remain ignorant of what
is going on underneath are likely to discover the hard way that the eectiveness
of their solutions is impacted adversely by things other than the actual programs
they write. | [
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] |
with the too-frequent result that the TAs end up writing the programs for
the students.
Preparation for the Future: Cutting Through Protective Layers
Professionals who use computers in systems today but remain ignorant of what
is going on underneath are likely to discover the hard way that the eectiveness
of their solutions is impacted adversely by things other than the actual programs
they write. This is true for the sophisticated computer programmer as well as the
sophisticated engineer. | [
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] |
Preparation for the Future: Cutting Through Protective Layers
Professionals who use computers in systems today but remain ignorant of what
is going on underneath are likely to discover the hard way that the eectiveness
of their solutions is impacted adversely by things other than the actual programs
they write. This is true for the sophisticated computer programmer as well as the
sophisticated engineer.
Serious programmers will write more ecient code if they understand what
is going on beyond the statements in their high-level language. | [
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] |
This is true for the sophisticated computer programmer as well as the
sophisticated engineer.
Serious programmers will write more ecient code if they understand what
is going on beyond the statements in their high-level language. Engineers, and not
just computer engineers, are having to interact with their computer systems today | [
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] |
come Aboard
1.1 What We Will Try to Do
Welcome to From Bits and Gates to C and Beyond. Our intent is to introduce
you over the next xxx pages to the world of computing. As we do so, we have
one objective above all others: to show you very clearly that there is no magic to
computing. The computer is a deterministic systemevery time we hit it over the
head in the same way and in the same place (provided, of course, it was in the same
starting condition), we get the same response. | [
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-0.02232743613421917,
-0.007294000126421452,
0.0027578698936849833
] |
As we do so, we have
one objective above all others: to show you very clearly that there is no magic to
computing. The computer is a deterministic systemevery time we hit it over the
head in the same way and in the same place (provided, of course, it was in the same
starting condition), we get the same response. The computer is not an electronic
genius; on the contrary, if anything, it is an electronic idiot, doing exactly what
we tell it to do. | [
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] |
The computer is a deterministic systemevery time we hit it over the
head in the same way and in the same place (provided, of course, it was in the same
starting condition), we get the same response. The computer is not an electronic
genius; on the contrary, if anything, it is an electronic idiot, doing exactly what
we tell it to do. It has no mind of its own.
What appears to be a very complex organism is really just a very large, sys-
tematically interconnected collection of very simple parts. | [
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] |
It has no mind of its own.
What appears to be a very complex organism is really just a very large, sys-
tematically interconnected collection of very simple parts. Our job throughout
this book is to introduce you to those very simple parts and, step-by-step, build the
interconnected structure that you know by the name computer. Like a house, we
will start at the bottom, construct the foundation rst, and then go on to add layer
after layer, as we get closer and closer to what most people know as a full-blown
computer. | [
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] |
Our job throughout
this book is to introduce you to those very simple parts and, step-by-step, build the
interconnected structure that you know by the name computer. Like a house, we
will start at the bottom, construct the foundation rst, and then go on to add layer
after layer, as we get closer and closer to what most people know as a full-blown
computer. Each time we add a layer, we will explain what we are doing, tying the
new ideas to the underlying fabric. | [
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] |
Like a house, we
will start at the bottom, construct the foundation rst, and then go on to add layer
after layer, as we get closer and closer to what most people know as a full-blown
computer. Each time we add a layer, we will explain what we are doing, tying the
new ideas to the underlying fabric. Our goal is that when we are done, you will be
able to write programs in a computer language such as C using the sophisticated
features of that language and to understand what is going on underneath, inside
the computer. | [
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] |
Each time we add a layer, we will explain what we are doing, tying the
new ideas to the underlying fabric. Our goal is that when we are done, you will be
able to write programs in a computer language such as C using the sophisticated
features of that language and to understand what is going on underneath, inside
the computer.
1.2 How We Will Get There
We will start (in Chapter 2) by rst showing that any information processed by
the computer is represented by a sequence of 0s and 1s. | [
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] |
1.2 How We Will Get There
We will start (in Chapter 2) by rst showing that any information processed by
the computer is represented by a sequence of 0s and 1s. That is, we will encode
all information as sequences of 0s and 1s. For example, one encoding of the letter
a that is commonly used is the sequence 01100001. One encoding of the decimal
number 35 is the sequence 00100011. We will see how to perform operations on
such encoded information. | [
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One encoding of the decimal
number 35 is the sequence 00100011. We will see how to perform operations on
such encoded information. | [
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] |
Once we are comfortable with information represented as codes made up of
0s and 1s and operations (addition, for example) being performed on these repre-
sentations, we will begin the process of showing how a computer works. Starting
in Chapter 3, we will note that the computer is a piece of electronic equipment
and, as such, consists of electronic parts operated by voltages and interconnected
by wires. Every wire in the computer, at every moment in time, is at either a high
voltage or a low voltage. | [
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] |
Starting
in Chapter 3, we will note that the computer is a piece of electronic equipment
and, as such, consists of electronic parts operated by voltages and interconnected
by wires. Every wire in the computer, at every moment in time, is at either a high
voltage or a low voltage. For our representation of 0s and 1s, we do not specify
exactly how high. We only care whether there is or is not a large enough voltage
relative to 0 volts to identify it as a 1. | [
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] |
For our representation of 0s and 1s, we do not specify
exactly how high. We only care whether there is or is not a large enough voltage
relative to 0 volts to identify it as a 1. That is, the absence or presence of a rea-
sonable voltage relative to 0 volts is what determines whether it represents the
value 0 or the value 1.
In Chapter 3, we will see how the transistors that make up todays micro-
processor (the heart of the modern computer) work. | [
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] |
That is, the absence or presence of a rea-
sonable voltage relative to 0 volts is what determines whether it represents the
value 0 or the value 1.
In Chapter 3, we will see how the transistors that make up todays micro-
processor (the heart of the modern computer) work. We will further see how
those transistors are combined into larger structures that perform operations,
such as addition, and into structures that allow us to save information for later
use. | [
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] |
In Chapter 3, we will see how the transistors that make up todays micro-
processor (the heart of the modern computer) work. We will further see how
those transistors are combined into larger structures that perform operations,
such as addition, and into structures that allow us to save information for later
use. In Chapter 4, we will combine these larger structures into the von Neumann
machine, a basic model that describes how a computer works. | [
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] |
We will further see how
those transistors are combined into larger structures that perform operations,
such as addition, and into structures that allow us to save information for later
use. In Chapter 4, we will combine these larger structures into the von Neumann
machine, a basic model that describes how a computer works. We will also begin
to study a simple computer, the LC-3. We will continue our study of the LC-3 in
Chapter 5. | [
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] |
We will also begin
to study a simple computer, the LC-3. We will continue our study of the LC-3 in
Chapter 5. LC-3 stands for Little Computer 3. We actually started with LC-1 but
needed two more shots at it before (we think) we got it right! The LC-3 has all
the important characteristics of the microprocessors that you may have already
heard of, for example, the Intel 8088, which was used in the rst IBM PCs back
in 1981. | [
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] |
LC-3 stands for Little Computer 3. We actually started with LC-1 but
needed two more shots at it before (we think) we got it right! The LC-3 has all
the important characteristics of the microprocessors that you may have already
heard of, for example, the Intel 8088, which was used in the rst IBM PCs back
in 1981. Or the Motorola 68000, which was used in the Macintosh, vintage 1984.
Or the Pentium IV, one of the high-performance microprocessors of choice for
the PC in the year 2003. | [
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] |
Or the Motorola 68000, which was used in the Macintosh, vintage 1984.
Or the Pentium IV, one of the high-performance microprocessors of choice for
the PC in the year 2003. Or todays laptop and desktop microprocessors, the Intel
Core processors I3, I5, and I7. Or even the ARM microprocessors that are used
in most smartphones today. That is, the LC-3 has all the important characteristics
of these real microprocessors without being so complicated that it gets in the
way of your understanding. | [
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] |
Or even the ARM microprocessors that are used
in most smartphones today. That is, the LC-3 has all the important characteristics
of these real microprocessors without being so complicated that it gets in the
way of your understanding.
Once we understand how the LC-3 works, the next step is to program it, rst
in its own language (Chapter 5 and Chapter 6), and then in a language called
assembly language that is a little bit easier for humans to work with (Chap-
ter 7). | [
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] |
That is, the LC-3 has all the important characteristics
of these real microprocessors without being so complicated that it gets in the
way of your understanding.
Once we understand how the LC-3 works, the next step is to program it, rst
in its own language (Chapter 5 and Chapter 6), and then in a language called
assembly language that is a little bit easier for humans to work with (Chap-
ter 7). Chapter 8 introduces representations of information more complex than a
simple number stacks, queues, and character strings, and shows how to imple-
ment them. | [
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] |
Once we understand how the LC-3 works, the next step is to program it, rst
in its own language (Chapter 5 and Chapter 6), and then in a language called
assembly language that is a little bit easier for humans to work with (Chap-
ter 7). Chapter 8 introduces representations of information more complex than a
simple number stacks, queues, and character strings, and shows how to imple-
ment them. Chapter 9 deals with the problem of getting information into (input)
and out of (output) the LC-3. | [
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] |
Chapter 8 introduces representations of information more complex than a
simple number stacks, queues, and character strings, and shows how to imple-
ment them. Chapter 9 deals with the problem of getting information into (input)
and out of (output) the LC-3. Chapter 9 also deals with services provided to a
computer user by the operating system. We conclude the rst half of the book
(Chapter 10) with an extensive example, the simulation of a calculator, an app on
most smartphones today. | [
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] |
Chapter 9 also deals with services provided to a
computer user by the operating system. We conclude the rst half of the book
(Chapter 10) with an extensive example, the simulation of a calculator, an app on
most smartphones today | [
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] |
Chapter 9 deals with the problem of getting information into (input)
and out of (output) the LC-3. Chapter 9 also deals with services provided to a
computer user by the operating system. We conclude the rst half of the book
(Chapter 10) with an extensive example, the simulation of a calculator, an app on
most smartphones today.
In the second half of the book (Chapters 1120), we turn our attention
to high-level programming concepts, which we introduce via the C and C++
programming languages. | [
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] |
We conclude the rst half of the book
(Chapter 10) with an extensive example, the simulation of a calculator, an app on
most smartphones today.
In the second half of the book (Chapters 1120), we turn our attention
to high-level programming concepts, which we introduce via the C and C++
programming languages. High-level languages enable programmers to more
eectively develop complex software by abstracting away the details of the under-
lying hardware. | [
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] |
In the second half of the book (Chapters 1120), we turn our attention
to high-level programming concepts, which we introduce via the C and C++
programming languages. High-level languages enable programmers to more
eectively develop complex software by abstracting away the details of the under-
lying hardware. C and C++ in particular oer a rich set of programmer-friendly
constructs, but they are close enough to the hardware that we can examine
how code is transformed to execute on the layers below. | [
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] |
High-level languages enable programmers to more
eectively develop complex software by abstracting away the details of the under-
lying hardware. C and C++ in particular oer a rich set of programmer-friendly
constructs, but they are close enough to the hardware that we can examine
how code is transformed to execute on the layers below. Our goal is to enable
you to write short, simple programs using the core parts of these programming. | [
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C and C++ in particular oer a rich set of programmer-friendly
constructs, but they are close enough to the hardware that we can examine
how code is transformed to execute on the layers below. Our goal is to enable
you to write short, simple programs using the core parts of these programming | [
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languages, all the while being able to comprehend the transformations required
for your code to execute on the underlying hardware.
Well start with basic topics in C such as variables and operators (Chapter 12),
control structures (Chapter 13), and functions (Chapter 14). Well see that these are
straightforward extensions of concepts introduced in the first half of the textbook.
We then move on to programming concepts in Chapters 1519 that will enable
us to create more powerful pieces of code: Testing and Debugging (Chapter 15),
Pointers and Arrays in C (Chapter 16), Recursion (Chapter 17), Input and Output in
C (Chapter 18), and Data Structures in C (Chapter 19). | [
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] |
Well see that these are
straightforward extensions of concepts introduced in the first half of the textbook.
We then move on to programming concepts in Chapters 1519 that will enable
us to create more powerful pieces of code: Testing and Debugging (Chapter 15),
Pointers and Arrays in C (Chapter 16), Recursion (Chapter 17), Input and Output in
C (Chapter 18), and Data Structures in C (Chapter 19).
Chapters 20 is devoted to C++, which we present as an evolution of the
C programming language. | [
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] |
We then move on to programming concepts in Chapters 1519 that will enable
us to create more powerful pieces of code: Testing and Debugging (Chapter 15),
Pointers and Arrays in C (Chapter 16), Recursion (Chapter 17), Input and Output in
C (Chapter 18), and Data Structures in C (Chapter 19).
Chapters 20 is devoted to C++, which we present as an evolution of the
C programming language. Because the C++ language was initially dened as
a superset of C, many of the concepts covered in Chapters 1119 directly map
onto the C++ language. | [
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] |
Chapters 20 is devoted to C++, which we present as an evolution of the
C programming language. Because the C++ language was initially dened as
a superset of C, many of the concepts covered in Chapters 1119 directly map
onto the C++ language. We will introduce some of the core notions in C++ that
have helped establish C++ as one of the most popular languages for developing
real-world software. | [
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] |
Because the C++ language was initially dened as
a superset of C, many of the concepts covered in Chapters 1119 directly map
onto the C++ language. We will introduce some of the core notions in C++ that
have helped establish C++ as one of the most popular languages for developing
real-world software. Chapter 20 is our Introduction to C++.
In almost all cases, we try to tie high-level C and C++ constructs to the
underlying LC-3 so that you will understand what you demand of the computer
when you use a particular construct in a C or C++ program. | [
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] |
Chapter 20 is our Introduction to C++.
In almost all cases, we try to tie high-level C and C++ constructs to the
underlying LC-3 so that you will understand what you demand of the computer
when you use a particular construct in a C or C++ program.
1.3 Two Recurring Themes
Two themes permeate this book that we as professors previously took for granted,
assuming that everyone recognized their value and regularly emphasized them
to students of engineering and computer science. | [
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] |
1.3 Two Recurring Themes
Two themes permeate this book that we as professors previously took for granted,
assuming that everyone recognized their value and regularly emphasized them
to students of engineering and computer science. However, it has become clear
to us that from the git-go, we need to make these points explicit. So, we state
them here up front. The two themes are (a) the notion of abstraction and (b) the
importance of not separating in your mind the notions of hardware and software. | [
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] |
So, we state
them here up front. The two themes are (a) the notion of abstraction and (b) the
importance of not separating in your mind the notions of hardware and software.
Their value to your development as an eective engineer or computer scien-
tist goes well beyond your understanding of how a computer works and how to
program it.
The notion of abstraction is central to all that you will learn and expect to
use in practicing your craft, whether it be in mathematics, physics, any aspect of
engineering, or business. | [
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-0.02787243016064167
] |
Their value to your development as an eective engineer or computer scien-
tist goes well beyond your understanding of how a computer works and how to
program it.
The notion of abstraction is central to all that you will learn and expect to
use in practicing your craft, whether it be in mathematics, physics, any aspect of
engineering, or business. It is hard to think of any body of knowledge where the
notion of abstraction is not critical. | [
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] |
The notion of abstraction is central to all that you will learn and expect to
use in practicing your craft, whether it be in mathematics, physics, any aspect of
engineering, or business. It is hard to think of any body of knowledge where the
notion of abstraction is not critical.
The misguided hardware/software separation is directly related to your
continuing study of computers and your work with them. | [
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It is hard to think of any body of knowledge where the
notion of abstraction is not critical.
The misguided hardware/software separation is directly related to your
continuing study of computers and your work with them.
We will discuss each in turn.
1.3.1 The Notion of Abstraction
The use of abstraction is all around us. When we get in a taxi and tell the driver,
Take me to the airport, we are using abstraction. | [
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] |
1 The Notion of Abstraction
The use of abstraction is all around us. When we get in a taxi and tell the driver,
Take me to the airport, we are using abstraction. If we had to, we could probably
direct the driver each step of the way: Go down this street ten blocks, and make
a left turn. And, when the driver got there, Now take this street ve blocks and
make a right turn. And on and on. | [
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] |
And, when the driver got there, Now take this street ve blocks and
make a right turn. And on and on. You know the details, but it is a lot quicker to
just tell the driver to take you to the airport. | [
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] |
Even the statement Go down this street ten blocks can be broken down
further with instructions on using the accelerator, the steering wheel, watching
out for other vehicles, pedestrians, etc.
Abstraction is a technique for establishing a simpler way for a person to inter-
act with a system, removing the details that are unnecessary for the person to
interact eectively with that system. Our ability to abstract is very much a pro-
ductivity enhancer. | [
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] |
Abstraction is a technique for establishing a simpler way for a person to inter-
act with a system, removing the details that are unnecessary for the person to
interact eectively with that system. Our ability to abstract is very much a pro-
ductivity enhancer. It allows us to deal with a situation at a higher level, focusing
on the essential aspects, while keeping the component ideas in the background. | [
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Our ability to abstract is very much a pro-
ductivity enhancer. It allows us to deal with a situation at a higher level, focusing
on the essential aspects, while keeping the component ideas in the background.
It allows us to be more ecient in our use of time and brain activity. It allows us
to not get bogged down in the detail when everything about the detail is working
just ne.
There is an underlying assumption to this, however: when everything about
the detail is just ne. | [
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] |
It allows us
to not get bogged down in the detail when everything about the detail is working
just ne.
There is an underlying assumption to this, however: when everything about
the detail is just ne. What if everything about the detail is not just ne? Then,
to be successful, our ability to abstract must be combined with our ability to
un-abstract. Some people use the word deconstructthe ability to go from the
abstraction back to its component parts. | [
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What if everything about the detail is not just ne? Then,
to be successful, our ability to abstract must be combined with our ability to
un-abstract. Some people use the word deconstructthe ability to go from the
abstraction back to its component parts.
Two stories come to mind.
The rst involves a trip through Arizona the rst author made a long time
ago in the hottest part of the summer. | [
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] |
Two stories come to mind.
The rst involves a trip through Arizona the rst author made a long time
ago in the hottest part of the summer. At the time he was living in Palo Alto,
California, where the temperature tends to be mild almost always. He knew
enough to take the car to a mechanic before making the trip and tell him to check
the cooling system. That was the abstraction: cooling system. | [
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] |
He knew
enough to take the car to a mechanic before making the trip and tell him to check
the cooling system. That was the abstraction: cooling system. What he had not
mastered was that the capability of a cooling system for Palo Alto, California,
is not the same as the capability of a cooling system for the summer deserts of
Arizona. The result: two days in Deer Lodge, Arizona (population 3), waiting for
a head gasket to be shipped in. | [
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] |
What he had not
mastered was that the capability of a cooling system for Palo Alto, California,
is not the same as the capability of a cooling system for the summer deserts of
Arizona. The result: two days in Deer Lodge, Arizona (population 3), waiting for
a head gasket to be shipped in.
The second story (perhaps apocryphal) is supposed to have happened during
the infancy of electric power generation. | [
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] |
The result: two days in Deer Lodge, Arizona (population 3), waiting for
a head gasket to be shipped in.
The second story (perhaps apocryphal) is supposed to have happened during
the infancy of electric power generation. General Electric Co. was having trouble
with one of its huge electric power generators and did not know what to do. On
the front of the generator were lots of dials containing lots of information, and
lots of screws that could be rotated clockwise or counterclockwise as the operator
wished. | [
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] |
was having trouble
with one of its huge electric power generators and did not know what to do. On
the front of the generator were lots of dials containing lots of information, and
lots of screws that could be rotated clockwise or counterclockwise as the operator
wished. Something on the other side of the wall of dials and screws was malfunc-
tioning and no one knew what to do. As the story goes, they called in one of the
early giants in the electric power industry. | [
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] |
Something on the other side of the wall of dials and screws was malfunc-
tioning and no one knew what to do. As the story goes, they called in one of the
early giants in the electric power industry. He looked at the dials and listened to
the noises for a minute, then took a small screwdriver from his pocket and rotated
one screw 35 degrees counterclockwise. The problem immediately went away. | [
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He looked at the dials and listened to
the noises for a minute, then took a small screwdriver from his pocket and rotated
one screw 35 degrees counterclockwise. The problem immediately went away. He
submitted a bill for $1000 (a lot of money in those days) without any elaboration.
The controller found the bill for two minutes work a little unsettling and asked
for further clarication. | [
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] |
He
submitted a bill for $1000 (a lot of money in those days) without any elaboration.
The controller found the bill for two minutes work a little unsettling and asked
for further clarication. Back came the new bill:
Turning a screw 35 degrees counterclockwise:
$
0.75
Knowing which screw to turn and by how much:
999.25
In both stories the message is the same. It is more ecient to think of entities
as abstractions. | [
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] |
25
In both stories the message is the same. It is more ecient to think of entities
as abstractions. One does not want to get bogged down in details unnecessarily | [
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] |
The controller found the bill for two minutes work a little unsettling and asked
for further clarication. Back came the new bill:
Turning a screw 35 degrees counterclockwise:
$
0.75
Knowing which screw to turn and by how much:
999.25
In both stories the message is the same. It is more ecient to think of entities
as abstractions. One does not want to get bogged down in details unnecessarily. | [
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] |
It is more ecient to think of entities
as abstractions. One does not want to get bogged down in details unnecessarily.
And as long as nothing untoward happens, we are OK. If there had been no trip
to Arizona, the abstraction cooling system would have been sucient. If the | [
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] |
electric power generator never malfunctioned, there would have been no need for
the power engineering gurus deeper understanding.
As we will see, modern computers are composed of transistors. These tran-
sistors are combined to form logic gatesan abstraction that lets us think in
terms of 0s and 1s instead of the varying voltages on the transistors. A logic cir-
cuit is a further abstraction of a combination of gates. | [
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] |
These tran-
sistors are combined to form logic gatesan abstraction that lets us think in
terms of 0s and 1s instead of the varying voltages on the transistors. A logic cir-
cuit is a further abstraction of a combination of gates. When one designs a logic
circuit out of gates, it is much more ecient to not have to think about the inter-
nals of each gate. To do so would slow down the process of designing the logic
circuit. | [
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] |
When one designs a logic
circuit out of gates, it is much more ecient to not have to think about the inter-
nals of each gate. To do so would slow down the process of designing the logic
circuit. One wants to think of the gate as a component. But if there is a problem
with getting the logic circuit to work, it is often helpful to look at the internal
structure of the gate and see if something about its functioning is causing the
problem. | [
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] |
One wants to think of the gate as a component. But if there is a problem
with getting the logic circuit to work, it is often helpful to look at the internal
structure of the gate and see if something about its functioning is causing the
problem.
When one designs a sophisticated computer application program, whether it
be a new spreadsheet program, word processing system, or computer game, one
wants to think of each of the components one is using as an abstraction. | [
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] |
But if there is a problem
with getting the logic circuit to work, it is often helpful to look at the internal
structure of the gate and see if something about its functioning is causing the
problem.
When one designs a sophisticated computer application program, whether it
be a new spreadsheet program, word processing system, or computer game, one
wants to think of each of the components one is using as an abstraction. If one
spent time thinking about the details of each component when it was not neces-
sary, the distraction could easily prevent the total job from ever getting nished. | [
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] |
When one designs a sophisticated computer application program, whether it
be a new spreadsheet program, word processing system, or computer game, one
wants to think of each of the components one is using as an abstraction. If one
spent time thinking about the details of each component when it was not neces-
sary, the distraction could easily prevent the total job from ever getting nished.
But when there is a problem putting the components together, it is often useful to
examine carefully the details of each component in order to uncover the problem. | [
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] |
If one
spent time thinking about the details of each component when it was not neces-
sary, the distraction could easily prevent the total job from ever getting nished.
But when there is a problem putting the components together, it is often useful to
examine carefully the details of each component in order to uncover the problem.
The ability to abstract is the most important skill. | [
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] |
But when there is a problem putting the components together, it is often useful to
examine carefully the details of each component in order to uncover the problem.
The ability to abstract is the most important skill. In our view, one should
try to keep the level of abstraction as high as possible, consistent with getting
everything to work eectively. Our approach in this book is to continually raise
the level of abstraction. | [
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] |
In our view, one should
try to keep the level of abstraction as high as possible, consistent with getting
everything to work eectively. Our approach in this book is to continually raise
the level of abstraction. We describe logic gates in terms of transistors. Once we
understand the abstraction of gates, we no longer think in terms of transistors.
Then we build larger structures out of gates. | [
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] |
Once we
understand the abstraction of gates, we no longer think in terms of transistors.
Then we build larger structures out of gates. Once we understand these larger
abstractions, we no longer think in terms of gates.
The Bottom Line
Abstractions allow us to be much more ecient in dealing
with all kinds of situations. It is also true that one can be eective without under-
standing what is below the abstraction as long as everything behaves nicely. | [
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] |
The Bottom Line
Abstractions allow us to be much more ecient in dealing
with all kinds of situations. It is also true that one can be eective without under-
standing what is below the abstraction as long as everything behaves nicely. So,
one should not pooh-pooh the notion of abstraction. On the contrary, one should
celebrate it since it allows us to be more ecient.
In fact, if we never have to combine a component with anything else into a
larger system, and if nothing can go wrong with the component, then it is perfectly
ne to understand this component only at the level of its abstraction. | [
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] |
On the contrary, one should
celebrate it since it allows us to be more ecient.
In fact, if we never have to combine a component with anything else into a
larger system, and if nothing can go wrong with the component, then it is perfectly
ne to understand this component only at the level of its abstraction.
But if we have to combine multiple components into a larger system, we
should be careful not to allow their abstractions to be the deepest level of our
understanding. | [
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] |
In fact, if we never have to combine a component with anything else into a
larger system, and if nothing can go wrong with the component, then it is perfectly
ne to understand this component only at the level of its abstraction.
But if we have to combine multiple components into a larger system, we
should be careful not to allow their abstractions to be the deepest level of our
understanding. If we dont know the components below the level of their abstrac-
tions, then we are at the mercy of them working together without our intervention. | [
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] |
But if we have to combine multiple components into a larger system, we
should be careful not to allow their abstractions to be the deepest level of our
understanding. If we dont know the components below the level of their abstrac-
tions, then we are at the mercy of them working together without our intervention.
If they dont work together, and we are unable to go below the level of abstraction,
we are stuck. | [
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If we dont know the components below the level of their abstrac-
tions, then we are at the mercy of them working together without our intervention.
If they dont work together, and we are unable to go below the level of abstraction,
we are stuck. And that is the state we should take care not to nd ourselves in.
1.3.2 Hardware vs. Software
Many computer scientists and engineers refer to themselves as hardware people
or software people. | [
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] |
2 Hardware vs. Software
Many computer scientists and engineers refer to themselves as hardware people
or software people. By hardware, they generally mean the physical computer and | [
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all the specications associated with it. By software, they generally mean the pro-
grams, whether operating systems like Android, ChromeOS, Linux, or Windows,
or database systems like Access, MongoDB, Oracle, or DB-terric, or applica-
tion programs like Facebook, Chrome, Excel, or Word. The implication is that
the person knows a whole lot about one of these two things and precious little
about the other. | [
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] |
By software, they generally mean the pro-
grams, whether operating systems like Android, ChromeOS, Linux, or Windows,
or database systems like Access, MongoDB, Oracle, or DB-terric, or applica-
tion programs like Facebook, Chrome, Excel, or Word. The implication is that
the person knows a whole lot about one of these two things and precious little
about the other. Usually, there is the further implication that it is OK to be an
expert at one of these (hardware OR software) and clueless about the other. | [
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] |
The implication is that
the person knows a whole lot about one of these two things and precious little
about the other. Usually, there is the further implication that it is OK to be an
expert at one of these (hardware OR software) and clueless about the other. It is
as if there were a big wall between the hardware (the computer and how it actu-
ally works) and the software (the programs that direct the computer to do their
bidding), and that one should be content to remain on one side of that wall or
the other. | [
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] |
Usually, there is the further implication that it is OK to be an
expert at one of these (hardware OR software) and clueless about the other. It is
as if there were a big wall between the hardware (the computer and how it actu-
ally works) and the software (the programs that direct the computer to do their
bidding), and that one should be content to remain on one side of that wall or
the other.
The power of abstraction allows us to usually operate at a level where we
do not have to think about the underlying layers all the time. | [
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