Test 1 Flashcards

(45 cards)

1
Q

What is the CPU?

A

Central Processing unit, or the “Brain” of the computer. Controls all other computer functions. Also known as the microprocessor or simply processor.

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2
Q

What is the BUS?

A

Computer Components are connected by a bus, or a group of parallel wires that carry signals and data between components.

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3
Q

What is main memory?

A

Main memory is made up of capacitors. If a capacitor is charged it’s state is 1 or ON, or set. If not its state is 0 or OFF or reset or cleared.

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4
Q

How is memory divided?

A

Divided into cells where each cell contains 8 bits (a 1 or 0) called a byte. Each cell is uniquely numbered, with a number called its address.

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5
Q

What kind of storage is Main Memory?

A

Volatile, meaning if power is lost the information in main memory is lost.

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6
Q

How do other components access information in Main Memory?

A

Other components can get the information at a particular address in MM, known as READ. This does not alter the contents. Other components can also store information at a particular address known as WRITE, which alters the contents of MM.

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7
Q

What kind of access is MM, what does this mean?

A

Random access or direct access means any memory address can be reached in the same amount of time because we can go directly to the address we want without starting from 0 and reading everything until we get to where we want (sequential address).

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8
Q

What are some kinds of Secondary Storage Media?

A
Disks (floppy, hard, removable)
Tapes
CDs
DVDs 
This kind of storage is called persistent (permanent) because it is nonvolatile.
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9
Q

What are some I/O Devices?

A

Also known as peripheral devices.

Keyboard, mouse, monitor, disk drive, CD or DVD drive, printer, scanner.

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10
Q

What are the kinds of languages?

A

Machine languages: machine dependent, a set of binary strings, each of them is a sequence of ‘0’ and ‘1’, of fixed length.

Assembly languages: English-like abbreviations to represent operations of computer.

Example: ADD A Reg1

High-level language (HLL): Assembly languages are still too troublesome even for simple operations like C=A+B. An HLL has structures well recognized by humans.

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11
Q

What are some high level languages?

A

Fortran: IBM during 50’s. Scientific/engineering computation.

COBOL (Common Business Oriented Language), Late 50’s. Database

C, 70’s at Bell Lab. System language. Many modern OSs are written using C.

C++, 80’s

Java: Early 90’s SUN Microsystems. Written using C++.

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12
Q

What is the process of running a normal HLL?

A

HLL is turned into Assembly Language by the compiler, then the assembler turns it into machine code, then the loader loads it onto your computer to run.

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13
Q

How does Java run programs?

A

Compiler turns program into byte code, which is then loaded into and executed by the Java virtual machine which is then run on the real machine.

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14
Q

What does readability mean?

A

How easy is it to read and understand programs written in the programming language?

Arguably the most important criterion!

Factors effecting readability include:

Simplicity: too many features is bad

Orthogonality: small set of primitive constructs combinable in a small number of ways to build the language’s control and data structures

Makes the language easy to learn and read

Meaning is context independent

Control statements

Data type and structures

Syntax considerations

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15
Q

What does writability mean?

A

How easy is it to write programs in the language?

Factors effecting writability:

Simplicity and orthogonality

Support for abstraction

Expressivity

Fit for the domain and problem

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16
Q

What are the factors in reliability?

A

Factors:

Type checking

Exception handling

Aliasing

Readability and writability

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17
Q

What are the categories of cost?

A

Categories:

Programmer training

Software creation

Compilation

Execution

Compiler cost

Poor reliability

Maintenance

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18
Q

What other concepts are important in determining the usefulness of a PL?

A

Portability

Generality

Well-definedness

Good fit for hardware (e.g., cell) or environment (e.g., Web)

etc…

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19
Q

What are von Neumann Machines?

A

John von Neuman is generally considered to be the inventor of the “stored program” machines, the class to which most of today’s computers belong
One CPU + one memory system that contains both program and data
Focus on moving data and program instructions between registers in CPU to memory locations
Fundamentally sequential

20
Q

What is the von Neumann Diagram?

A
Memory
^                    ^
|                      |
v                     v
Control -->  Arithmetic                 Output
                    (Accumulator)

Processor

21
Q

What were some PL Methodologies through the decades?

A

50s and early 60s: Simple applications; worry about machine efficiency
Late 60s: People efficiency became important; readability, better control structures. maintainability
Late 70s: Data abstraction
Middle 80s: Object-oriented programming
90s: distributed programs, Internet
00s: Web, user interfaces, graphics, mobile, services
10s: parallel computing, cloud computing?, pervasive computing?, semantic computing?, virtual machines?

22
Q

What are the big 4 PL Paradigms? What are some others?

A
The big four PL paradigms:
Imperative or procedural (e.g., Fortran, C)
Object-oriented (e.g. Smalltalk, Java)
Functional (e.g., Lisp, ML)
Rule based (e.g. Prolog, Jess)
Others:
Scripting (e.g., Python, Perl, PHP, Ruby)
Constraint (e.g., Eclipse)
Concurrent (Occam)
…
23
Q

What are some language design tradeoffs?

A

Reliability versus cost of execution
Ada, unlike C, checks all array indices to ensure proper range but has very expensive compilation

Writability versus readability
(2 = 0 +.= T o.| T) / T < iN
APL one-liner producing prime numbers from 1 to N, obscure to all but the author

Flexibility versus safety
C, unlike Java, allows one to do arithmetic on pointers, see worse is better

24
Q

What are some implementation methods?

A

Direct execution by hardware
e.g., native machine language

Compilation to another language
e.g., C compiled to Intel Pentium 4 native machine language

Interpretation: direct execution by software
e.g., csh, Lisp, Python, JavaScript

Hybrid: compilation then interpretation
Compilation to another language (aka bytecode), then interpreted by a ‘virtual machine’, e.g., Java, Perl

Just-in-time compilation
Dynamically compile some bytecode to native code (e.g., V8 JavaScript engine)

25
What are some implementation issues?
1. Complexity of compiler/interpreter (interpreted best) 2. Translation speed (interpreted best) 3. Execution speed (compiled best) 4. Code portability (interpreted best) 5. Code compactness (interpreted best) 6. Debugging ease (interpreted best)
26
Who are some of the first programmers?
Jacquard loom of early 1800s Translated card patterns into cloth designs Charles Babbage’s analytical engine (1830s & 40s) Programs were cards with data and operations. Steam powered! Ada Lovelace – first programmer
27
Who was Konrad Zuse?
Konrad Zuse began work on Plankalkul (plan calculus), the first algorithmic programming language, with an aim of creating the theoretical preconditions for the formulation of problems of a general nature. Seven years earlier, Zuse had developed and built the world's first binary digital computer, the Z1. He completed the first fully functional program-controlled electromechanical digital computer, the Z3, in 1941. Only the Z4 – the most sophisticated of his creations -- survived World War II.
28
Who was Von Neumann?
Von Neumann led a team that built computers with stored programs and a central processor ENIAC wasprogrammed with patch cards
29
What were machine codes? What was wrong with them?
Initial computers (1940s) were programmed in raw machine codes. These were entirely numeric. What was wrong with using machine code? Everything! Poor readability Poor modifiability Expression coding was tedious Inherit deficiencies of hardware, e.g., no indexing or floating point numbers
30
What were some Pseudocodes?
Short Code or SHORTCODE - John Mauchly, 1949. Pseudocode interpreter for math problems, on Eckert and Mauchly’s BINAC and later on UNIVAC I and II. Possibly the first attempt at a higher level language. Expressions were coded, left to right, e.g.: X0 = sqrt(abs(Y0)) 00 X0 03 20 06 Y0 Some operations: 01 – 06 abs 1n (n+2)nd power 02 ) 07 + 2n (n+2)nd root 03 = 08 pause 4n if <= n 04 / 09 ( 58 print & tab More Pseudocodes Speedcoding; 1953-4 A pseudocode interpreter for math on IBM701, IBM650. Developed by John Backus Pseudo ops for arithmetic and math functions Conditional and unconditional branching Autoincrement registers for array access Slow but still dominated by slowness of s/w math Interpreter left only 700 words left for user program Laning and Zierler System - 1953 Implemented on the MIT Whirlwind computer First "algebraic" compiler system Subscripted variables, function calls, expression translation Never ported to any other machine
31
What was Fortran?
1954-1957 FORmula TRANslator Developed at IBM under the guidance of John Backus primarily for scientific, computational programming Dramatically changed forever the way computers used Has continued to evolve, adding new features & concepts. FORTRAN II, FORTRAN IV, FORTRAN66, FORTRAN77, FORTRAN90 Always among the most efficient compilers, producing fast code
32
What was COBOL?
COmmon Business Oriented Language Principal mentor: (Rear Admiral Dr.) Grace Murray Hopper (1906-1992) Based on FLOW-MATIC which had such features as: Names up to 12 characters, with embedded hyphens English names for arithmetic operators Data and code were completely separate Verbs were first word in every statement CODASYL committee (Conference on Data Systems Languages) developed a programming language by the name of COBOL
33
What was BASIC?
(1964) Beginner's All purpose Symbolic Instruction Code Designed by Kemeny & Kurtz at Dartmouth for the GE 225 with the goals: Easy to learn and use for non-science students and as a path to Fortran and Algol Must be “pleasant and friendly” Fast turnaround for homework Free and private access User time is more important than computer time Well suited for implementation on first PCs (e.g., Gates and Allen’s 4K Basic interpreter for the MITS Altair personal computer (circa 1975) Current popular dialects: Visual BASIC
34
What is LISP?
(1959) LISt Processing language (Designed at MIT by McCarthy) AI research needed a language that: Process data in lists (rather than arrays) Symbolic computation (rather than numeric) One universal, recursive data type: the s-expression An s-expression is either an atom or a list of zero or more s-expressions Syntax is based on the lambda calculus Pioneered functional programming No need for variables or assignment Control via recursion and conditional expressions Status Still the dominant language for AI COMMON LISP and Scheme are contemporary dialects ML, Miranda, and Haskell are related languages
35
What is APL?
designed by Ken Iverson at Harvard in late 1950’s APL = A Programming Language A language for programming mathematical computations especially those using matrices Functional style and many whole array operations Drawback is requirement of special keyboard
36
What is a programming languages syntax? What about semantics?
Syntax is the form or structure of the expressions, statements and program units. Semantics are the meaning of those expressions, statements and program units
37
What is a sentence?
A sentence is a string of characters over some alphabet. | e.g.: def add1(n): return n + 1
38
What is a language?
A language is a set of sentences
39
What is a lexeme?
The lowest level syntactic unit of a language | e.g.: *, add1, begin
40
What is a token?
A category of lexemes | e.g.: identifier
41
What are the lexical structures of PLs?
The structure of its lexemes? (words or tokens) - The scanning phase (lexical analyser) collects characters into tokens - Parsing phase (syntactic analyser) determines syntactic structure Stream of characters ==> Lexical analyser ==> Tokens and values ==> Syntactic analyser ==> Result of parsing
42
What is a formal grammar?
A formal grammar is a set of rules for strings in a formal language that describe how to form strings from the language's alphabet that are valid according to the language's syntax. This does not describe the meaning of the strings or what can be done with them in any context, only their form.
43
What is the role of grammars in PLs?
A grammar defines a programming language in terms of syntax. It can be used to: - Generate sentences in the language - Test whether a string is in the language - Produce a structures representation of the string that can be used in subsequent processing.
44
What are context free grammars?
- Developed by Noam Chomsky in the mid-1950s - Language generators, meant to describe the syntax of natural languages - Define a class of languages called context-free languages
45
What is the BNF?
Backus Normal/Naur Form (1959) - Invented by John Backus to describle Algol 58 and refined by Peter Naur for Algol 60 - BNF is equivalent to context-free grammars