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Transcript of Ch. 0 - 2 Ch. 0 - 2 1 jcmt CSE 3302 Programming Languages CSE3302 Programming Languages Dr. Carter...
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 1 jcmt
CSE3302CSE3302Programming LanguagesProgramming Languages
Dr. Carter Tiernan
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 2 jcmt
programming languageprogramming languagea language that is intended
for the expression of computer programs and is capable of expressing anyany
computer program
A is
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 3 jcmt
Why is this interesting?Why is this interesting?• Although it’s possible to write any
program in any language, it’s not equally easy to do so.
• Languages are the tools of the central activity of computer science
• The structure of language defines the boundaries of thought
• Motivation for and use of modern language facilities
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 4 jcmt
Why is this useful?Why is this useful?• Learning language mechanisms
can allow you to simulate such things even in a language that does not provide them
• Presents the most important principles for the design, evaluation, and implementation of programming languages
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 5 jcmt
PrinciplesPrinciples• Open the front cover of your
textbook.• Yes, right now.
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 6 jcmt
Early computingEarly computing• Numeric programming with coding of
instructions • A “pseudo-code” was a primitive
language that implemented the machine code operations with different, and hopefully easier to use, codes– interpreted or– (eventually) compiled
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 7 jcmt
ConstraintsConstraints• Very slow• Very small memory• Computer time cost more than
programmer time• For numeric programming -
– Significant floating point calculations– Requirement for indexing data
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 8 jcmt
What must a “pseudo-code” (or a What must a “pseudo-code” (or a programming language) do?programming language) do?
Originally based on what the actual Originally based on what the actual machine could do:machine could do:
• Floating point arithmetic and comparisons
• Indexing• Transfer of control• I/O
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 9 jcmt
Decisions to makeDecisions to make(OK, just a few of them)(OK, just a few of them)
• Syntax?• How large can addresses be?• How long can instructions be?• How should we code the operations?• and so on…
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 10 jcmt
The Principles (again)The Principles (again)• Identify elements most important
to good programming language design
• Apply with flexibility• Balance among contradictory
• Modeled on Strunk and White
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 11 jcmt
Arithmetic vs. ComparisonArithmetic vs. Comparison• Calculate
values• Use operands• Values created
can be used or stored
• Test values• Use operands• Test results can
be used or stored
• Test results may control program flow
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 12 jcmt
Moving, Indexing & LoopingMoving, Indexing & Looping[ Addresses ][ Addresses ]
• Moving – Put a value into a memory address
• Indexing– Access a single element from a
multiple element structure - an array• Looping
– Change the flow of the program back to a previous location
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 13 jcmt
Input and OutputInput and Output• Based on I/O devices and methods
of the time– Punched cards– Paper tape– Keyboards
• {Not much to say about this one}
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 14 jcmt
Program StructureProgram Structure• Declarations• Instructions• Input data
InterpreterInterpreterExecutionExecution
1. Read instruction2. Decode3. Execute4. Repeat steps with
next instruction
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 15 jcmt
Interpreter enhancementsInterpreter enhancements• Program tracing
– Breakpoints– Data trap
• Labels for statements and variables– Beginning of symbol table
• Translation
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 16 jcmt
Symbolic Pseudo CodeSymbolic Pseudo Code• Syntax• Punch cards led to fixed format
fields• Key punches only had upper case• VAR format• Prefix notation
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 17 jcmt
PhenomenologyPhenomenology• Ampliative and Reductive• Fascination and Fear• Direct vs. Mediated (transparency)• Focus and Action
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 18 jcmt
Efficiency : FortranEfficiency : Fortran• Inclusion of floating point arithmetic
and indexing in hardware exposed the overhead of interpreters
• John Backus of IBM recognized that language adoption would be based on :– Use of conventional mathematical notation– Highly efficient (machine) code produced
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 19 jcmt
Adoption and Use of FortranAdoption and Use of Fortran• Development of a usable Fortran took 2 years
(18 person/years) of effort (starting in 1955)• Within a year and a half, approximately half the
code being written for the IBM 704 machines was in Fortran
• Why?– Exceptionally clear documentation– Very sophisticated optimization
techniques• Many versions exist and are in use• Book focuses on ANS Fortran IV (’66)
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 20 jcmt
Fortran structureFortran structure• Subprograms
– Parameters– COMMON blocks
• Declarative or Imperative (nonexecutable vs. executable)– Allocate, bind and initialize at declaration– Compute, control flow, or I/O
• Stages and phases of compilation
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 21 jcmt
Imperative statementsImperative statements• Assignment (=) is most important and
most common computational statement• Control structures developed to direct
control to primitive statements– Structures were based on IBM 704
branches– GOTO used to transfer control with IF for
selection and iteration– DO loop is only higher level construct
• Counted loop with CONTINUE• Can be nested hierarchically
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 22 jcmt
Fortran Control IssuesFortran Control Issues• Static and dynamic structure hard to
see and correlate• Confusion of GOTO plethora• Weak typing• DO-loop is optimized with all needed
info for execution stated at the top• Procedural abstraction
– SUBROUTINE name (input & output parameters)
– FUNCTION name (input parameters)
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 23 jcmt
Subroutines in FortranSubroutines in Fortran• CALL passes parameters and control• RETURN passes control back to caller• Allows modularity and encourages
libraries• Parameters passed by reference for
efficiency but with side effects– Compare with pass by value-result
• Activation records save state
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 24 jcmt
Fortran: Activation RecordFortran: Activation Record• Nonrecursive subprogram invocation• Contains all data needed to activate
or restart a subprogram– Parameters– Instruction pointer (resumption address)– Dynamic link– Temporary storage
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 25 jcmt
Fortran: Data StructuresFortran: Data Structures• Scalars - integers, floating point
– Integers, Hollerith constants (strings)– Double precision, complex, logical (boolean)
• Representation– Word-based– Appropriate to operations on the type
• Mathematical operations– Representation-independent– Overloaded for each type
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 26 jcmt
Fortran: Data StructuresFortran: Data Structures• Arrays• Contiguous memory allocation for
indexing– Column-major order
• Easy to optimize– Loop controls used array address to start– Subscript format was restricted– Index register increment easy to
determine
A(1)A(2)A(3)
A(4)
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 27 jcmt
Fortran: Data IssuesFortran: Data Issues• Overloaded operators• Integer type used for integers and
character strings (Hollerith constants)• No facilities for character
manipulation• Arrays are static
– Dimensions must be constants– Limited to 3 dimensions
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 28 jcmt
Fortran: Name structuresFortran: Name structures• Declaration does binding• DATA statement does initialization• Static allocation• Fortran would automatically declare
previously-unseen variables– “I through N” names assumed as integer– Major typo problems created
• Variable names are local scope• Subprogram names are global scope
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 29 jcmt
COMMON blocksCOMMON blocks• Data sharing between subprograms• Subprogram explicitly calls out the
COMMON block to be used• Aliasing
EQUIVALENCEEQUIVALENCE• Share memory within a subprogram
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 30 jcmt
Language DefinitionLanguage Definition• Lexics
– The way characters are combined to form words and symbols
• Syntax– The way words and symbols are combined
to form statements and expressions• Lexical analysis (scanning)• Syntactic analysis (parsing)
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 31 jcmt
Fortran syntaxFortran syntax• Fixed-format columns
– Free-format statement in columns 7 - 72• Ignored blanks (ugh!)• No “reserved” words• Allowed (quasi) algebraic notation• Operator precedence• Linear instruction sequence
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 32 jcmt
First Generation LanguagesFirst Generation Languages• Machine dependence
– Especially seen in control structures– And in primitive data types supported
• Non-nested and rely on GOTO• One parameter passing mode• Definite loops supported but not recursion• Arrays• Weak typing• Static allocation and disjoint scoping of names• Linear organization
CSE 3302 CSE@UTA Programming Languages Ch. 0 - 2Ch. 0 - 2 33 jcmt
Language Design IssuesLanguage Design Issues• Interaction of features• “Higher level” construct allows
programmer to state what they want rather than how to do it
• “Regular” flow of control• “Cost” of choices, e.g. Fortran
efficiency