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PL241留学生作业代做、代写Compiler Construction作业、代做Java,Python编程语言作业、c/c++课程作业代写代写Databas

Advanced Compiler Construction – Winter 2019
Course Project
The project assignment for this course will illustrate various aspects of optimizing compilers by
way of a scaled-down example. You will be asked to construct an optimizing compiler for the
simple programming language. The syntax of PL241 is given below; the semantics of the
various syntactical constructs are hopefully more or less obvious. PL241 has integers, arrays,
functions (which return a scalar result) and procedures (which don’t return anything). There are
three predefined procedures InputNum, OutputNum, and OutputNewLine. All arguments to
functions and procedures are scalar (arrays cannot be passed as parameters).
First Step
You will build a simple recursive-descent parser that generates an intermediate representation
appropriate for subsequent optimizations. The intermediate representation will be a dynamic
data structure in memory and needs to provide control flow and dominator information for basic
blocks. Further, data dependence information (“def-use-chains”) is required for all constants,
variables and intermediate results. Instructions should be represented in Static Single
Assignment form.
The operations encoded in instruction nodes consist of an operator and up to two operands.
The following operators are available (the use of operator adda will be explained in the lecture):
neg x unary minus
add x y addition
sub x y subtraction
mul x y multiplication
div x y division
cmp x y comparison
adda x y add two addresses x und y (used only with arrays)
load y load from memory address y
store y x store y to memory address x
move y x assign x := y
phi x x1 x2 ... x := Phi(x1, x2, x3, ...)
end end of program
bra y branch to y
bne x y branch to y on x not equal
beq x y branch to y on x equal
ble x y branch to y on x less or equal
blt x y branch to y on x less
bge x y branch to y on x greater or equal
bgt x y branch to y on x greater
read read
write x write
writeNL writeNewLine
The intermediate representation generated by your compiler should be visualized using the VCG
(Visualization of Compiler Graphs) package that is available on the Internet (just type “vcg” into
the Google search engine). VCG is a priceless tool for debugging the kind of complex dynamic
data structures that are used in optimizing compilers. Your output should consist of the CFG
visually depicted by basic blocks (boxes) connected by control flow (lines), and within each
basic block, the instruction list should be shown in a format similar to what we are using in
class. Additionally, you should visualize the dominator tree.
Second Step
After you are confident that your conversion to SSA works correctly, extend your compiler by
implementing common subexpression elimination and copy propagation on the control flow
graph. In order to make this process visible to the user, introduce a trace mode that produces an
elimination protocol. Display the resulting program after elimination in SSA form (without any
MOVE instructions remaining), again using the VCG package. Perform experiments to test your
implementation for correctness.
Third Step
Implement a global register allocator for your compiler. For this purpose, track the live ranges
of all the individual values generated by the program being compiled, and build an interference
graph. Color the resulting graph, assuming that the target machine has 8 general-purpose data
registers. If more registers are required, map the values that cannot be accommodated onto
virtual registers in memory. Eliminate all Phi-Instructions, inserting move-instructions wherever
necessary. Display the final result using VCG, and perform experiments to test your
implementation.
Fourth Step
Write a code generator for the source language that emits optimized (CSE, copy propagation,
register allocation) native programs in the native load format of a real platform. You may
choose your target platform from x86/Windows, x86/Linux, or you may use the DLX processor
simulator.
Optional Final Step
Perform instruction scheduling between the register allocation and code generation stages of
your compiler. Try to find a scheduling heuristic that improves performance over non-scheduled
code.
EBNF for PL241
letter = “a” | “b” | … | “z”.
digit = “0” | “1” | … | “9”.
relOp = “==“ | “!=“ | “<“ | “<=“ | “>“ | “>=“.
ident = letter {letter | digit}.
number = digit {digit}.
designator = ident{ "[" expression "]" }.
factor = designator | number | “(“ expression “)” | funcCall .
term = factor { (“*” | “/”) factor}.
expression = term {(“+” | “-”) term}.
relation = expression relOp expression .
assignment = “let” designator “<-” expression.
funcCall = “call” ident [ “(“ [expression { “,” expression } ] “)” ].
ifStatement = “if” relation “then” statSequence [ “else” statSequence ] “fi”.
whileStatement = “while” relation “do” StatSequence “od”.
returnStatement = “return” [ expression ] .
statement = assignment | funcCall | ifStatement | whileStatement | returnStatement.
statSequence = statement { “;” statement }.
typeDecl = “var” | “array” “[“ number “]” { “[“ number “]” }.
varDecl = typeDecl indent { “,” ident } “;” .
funcDecl = (“function” | “procedure”) ident [formalParam] “;” funcBody “;” .
formalParam = “(“ [ident { “,” ident }] “)” .
funcBody = { varDecl } “{” [ statSequence ] “}”.
computation = “main” { varDecl } { funcDecl } “{” statSequence “}” “.” .
Predefined Function
InputNum() read a number from the standard input
Predefined Procedure
OutputNum(x) write a number to the standard output
OutputNewLine() write a carriage return to the standard output

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