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Project 1: A Compiler for the TinyL Language

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CS 314 Principles of Programming Languages
Project 1: A Compiler for the TinyL Language
THIS IS NOT A GROUP PROJECT! You may talk about the project and possible
solutions in general terms, but must not share code. In this project, you will be asked
to write a recursive descent LL(1) parser and code generator for the tinyL language. Your
compiler will generate RISC machine instructions. You will also write a code optimizer that
takes RISC machine instructions as input and removes redundant code. The output of the
optimizer is a sequence of RISC machine instructions which produces the same results as the
original input sequence but is more efficient. To test your generated programs, you will use
a provided virtual machine that can “run” your RISC code. The project will require you
to manipulate doubly-linked lists of instructions. In order to avoid memory leaks, explicit
deallocation of unused memory space is necessary.
1 Background
1.1 The tinyL language
tinyL is a simple expression language that allows assignments and basic I/O operations.
<program ::= <stmt list !
<stmt list ::= <stmt <morestmts
<morestmts ::= ; <stmt list | ?
<stmt ::= <assign | <read | <print
<assign ::= <var = <expr
<read ::= % <var
<print ::= $ <var
<expr ::= <arith expr |
<logical expr |
<var |
<digit
<arith expr ::= + <expr <expr |
− <expr <expr |
∗ <expr <expr
<logical expr ::= & <expr <expr |
| <expr <expr
<var ::= a | b | c | d | e | f
<digit ::= 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
Two examples of valid tinyL programs:
1. %a;%b;c=&3*ab;d=+c1;$d!
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2. %a;b=-*+1+2a58;$b!
1.2 Target Architecture
The target architecture is a simple RISC machine with virtual registers, i.e., with an unbounded number of registers. All registers can only store integer values. A RISC architecture is a load/store architecture where arithmetic instructions operate on registers rather
than memory operands (memory addresses). This means that for each access to a memory
location, a load or store instruction has to be generated. Here is the machine instruction
set of our RISC target architecture. Rx , Ry , and Rz represent three arbitrary, but distinct
registers.
instr. format description semantics
memory instructions
LOADI Rx #<const load constant value #<const into register Rx Rx ← <const
LOAD Rx <id load value of variable <id into register Rx Rx ← <id
STORE <id Rx store value of register Rx into variable <id <id ← Rx
arithmetic instructions
ADD Rx Ry Rz add contents of registers Ry and Rz , and Rx ← Ry + Rz
store result into register Rx
SUB Rx Ry Rz subtract contents of register Rz from register Rx ← Ry − Rz
Ry , and store result into register Rx
MUL Rx Ry Rz multiply contents of registers Ry and Rz , and Rx ← Ry ∗ Rz
store result into register Rx
logical instructions
AND Rx Ry Rz apply bit wise AND operation to Rx ← Ry & Rz
contents of registers Ry and Rz , and store
result into register Rx
OR Rx Ry Rz apply bit wise OR operation to contents Rx ← Ry | Rz
of registers Ry and Rz , and store
result into register Rx
I/O instructions
READ <id read value of variable <id from standard input read( <id )
WRITE <id write value of variable <id to standard output print( <id )
1.3 Dead Code Elimination
Our tinyL language does not contain any control flow constructs (e.g.: jumps, if-then-else,
while). This means that every generated instruction will be executed. However, if the
execution of an operation or instruction does not contribute to the input/output behavior
of the program, the instruction is considered “dead code” and therefore can be eliminated
without changing the semantics of the program. Please note that READ instructions may not
be eliminated although the read value may have no impact on the outcome of the program.
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All READ instructions are kept since the overall input/output program behavior needs to be
preserved.
Your dead-code eliminator will take a list of RISC instructions as input. For example, in
the following code
LOADI Rx #c1
LOADI Ry #c2
LOADI Rz #c3
ADD R1 Rx Ry
MUL R2 Rx Ry
STORE a R1
WRITE a
the MUL instruction and the third LOADI instruction can be deleted without changing the
semantics of the program. Therefore, your dead-eliminator should produce the code:
LOADI Rx #c1
LOADI Ry #c2
ADD R1 Rx Ry
STORE a R1
WRITE a
2 Project Description
The project consists of two components:
1. Complete the partially implemented recursive descent LL(1) parser that generates RISC
machine instructions.
2. Write a dead-code eliminator that recognizes and deletes redundant, i.e., dead RISC
machine instructions.
The project represents an entire programming environment consisting of a compiler, an
optimizer, and a virtual machine (RISC machine interpreter). You are required to implement
the compiler and the optimizer (described in Section 2.1 and 2.2). The virtual machine is
provided to you (described in Section 2.3).
2.1 Compiler
The recursive descent LL(1) parser implements a simple code generator. You should follow
the main structure of the code as given to you in file Compiler.c. As given to you, the file
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contains code for function digit, assign, and print, as well as partial code for function
expr. As is, the compiler is able to generate code only for expressions that contain “+”
operations and constants. You will need to add code in the provided stubs to generate
correct RISC machine code for the entire program. Do not change the signatures of the
recursive functions. Note: The left-hand and right-hand occurrences of variables are treated
differently.
2.2 Dead Code Elimination Optimization
The dead code elimination optimizer expect the input file to be provided at the standard
input (stdin), and will write the generated code back to standard output (stdout).
The basic algorithm identifies “crucial” instructions. The initial crucial instructions are
all READ and WRITE instructions. For all WRITE instruction, the algorithm has to detect
all instructions that contribute to the value of the variable that is written out. First, you
will need to find the store instruction that stores a value into the variable that is written
out. This STORE instruction is marked as critical and will reference a register, let’s say Rm.
Then you will find the instructions on which the computation of the register Rm depends
on and mark them as critical. This marking process terminates when no more instructions
can be marked as critical. If this basic algorithm is performed for all WRITE instructions, the
instructions that were not marked critical can be deleted.
Instructions that are deleted as part of the optimization process have to be explicitly
deallocated using the C free command in order to avoid memory leaks. You will implement
your dead code elimination pass in the file Optimizer.c. All of your “helper” functions
should be implemented in this file.
2.3 Virtual Machine
The virtual machine executes a RISC machine program. If a READ <id instruction is
executed, the user is asked for the value of <id from standard input (stdin). If a WRITE
<id instruction is executed, the current value of <id is written to standard output
(stdout). The virtual machine is implemented in file Interpreter.c. DO NOT MODIFY
this file. It is there only for your convenience so that you may be able to copy the source
code of the virtual machine, for instance, to your laptop and compile it there. Be aware that
you are welcome to work on your project using your own computer, however, you need to
make sure your code will eventually compile and run on the ilab cluster. All grading will be
done on ilab.
The virtual machine assumes that an arbitrary number of registers are available (called
virtual registers), and that there are only six memory locations that can be accessed using
variable names (‘a’ … ‘e’ ‘f’). In a real compiler, an additional optimization pass maps virtual
registers to the limited number of physical registers of a machine. This step is typically
called register allocation. You do not have to implement register allocation in this project.
The virtual machine (RISC machine language interpreter) will report the overall number of
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executed instructions for a given input program. This allows you to assess the effectiveness
of your optimization component.
3 Grading
You will submit two files Optimizer.c and Compiler.c. No other file should be modified,
and no additional file(s) may be used. Please make a tarball of these two files: “tar -cvf
proj1 submission.tar Optimizer.c Compiler.c” and submit the proj1 submission.tar file. Do
not submit any executables or any of your test cases.
Your programs will be graded based mainly on functionality. Functionality will be verified
through automatic testing on a set of syntactically correct test cases. No error handing is
required. The project code package contains 10 test cases. Note that during grading we will
use another 10 hidden test cases. Your grade will be based on these 20 test cases.
The project code package also contains executables of reference solutions for the compiler
(compile.sol) and optimizer (optimize.sol).
A simple Makefile is provided in the package for your convenience. In order to create
the compiler, type make compile at the Linux prompt, which will generate the executable
compile. The Makefile contains rules to create executables of your optimizer (make optimize)
and virtual machine (make run). The Makefile also contains a rule that cleans all the object
files before you recompile your code.
The provided, initial compiler contains some code for parsing a single assignment statement with right-hand side expressions of only additions of numbers, followed by a single print
statement. The provided code is by no means complete (it is only meant to show you the
code framework). You will need to extend it and support the complete TinyL language.
4 How To Get Started
Create your own directory on the ilab cluster, and copy the provided project code package
to your directory. Make sure that the read, write, and execute permissions for groups and
others are disabled (chmod go-rwx <directory name).
Type make compile to generate the compiler. To run the compiler on a test case “sample2.tinyL” in the folder tests/, type ./compile tests/sample2.tinyL. This will generate a
RISC machine program in the file tinyL.out. To create your optimizer, type make optimize.
The initial (provided) version of the optimizer does not work at all.
To call your optimizer on a file that contains RISC machine code, for instance file
tinyL.out, type ./optimize < tinyL.out optimized.out. This will generate a new
file optimized.out containing the output of your optimizer. The operators “<” and “”
are Linux redirection operators for standard input (stdin) and standard output (stdout), respectively. Without those, the optimizer will expect instructions to be entered on the Linux
command line, and will write the output to your screen.
You may want to use valgrind for memory leak detection. We recommend to use the
following flags, in this case to test the optimizer for memory leaks:
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valgrind –leak-check=full –show-reachable=yes –track-origins=yes ./optimize
< tinyL.out
The RISC virtual machine (RISC machine program interpreter) can be generated by
typing make run. The distributed version of the VM in Interpreter.c is complete and
should not be changed. To run a program on the virtual machine, for instance tinyL.out,
type ./run tinyL.out. If the program contains READ instructions, you will be prompted
at the Linux command line to enter a value. Finally, you can define a tinyL language
interpreter on a single Linux command line as follows:
./compile test1; ./optimize < tinyL.out opt.out; ./run opt.out.
The “;” operator allows you to specify a sequence of Linux commands on a single command
line.
5 Questions
Please post all questions regarding the project on Sakai forum.
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