Advanced Compiler Construction


This is an advanced graduate course in compiler technology. The course has several goals. First, it aims to develop a fundamental understanding of the major approaches to program analysis and optimization. Second, it aims to help students understand published research on various novel compiler techniques. Third, during the duration of the course, the students will solve a significant compiler problem, which includes reading the literature and implementing the solution in a real-world compiler, such as LLVM. Finally, the students will learn about recent research directions.

 

News  

  • 1/06/2019: The website is up!



 


 Lectures:
 Tuesday/Thursday 3:30pm-4:45pm
 Siebel Center, 1103

 Instructor:
 Sasa Misailovic
 Assistant Professor, CS UIUC
 4110 Siebel Center  misailo@illinois.edu

 Office Hours:
 4110 Siebel Center
 By appointment

Overview  

This is an advanced graduate reasearch-oriented course. It will include lectures, reading literature and original materials, and a substational research project. We will compute the final grade using the following table:

Activity Grade Details
Miniquizzes 10%
  • At the beginning of each lecture; five minutes long.
  • Can skip 5 without penalty; each additional decreases the grade by 0.5%.
Midterm 15%
  • Near the half of the semester.

Final 25%
  • At the end of the semester

Project 50%
  • Part 1: second week of classes (10%)
  • Part 2: after four weeks (40%)
Extra Credit 10% TBD

 

Tentative Schedule  


Date Topic Notes
1/15 Introduction and Control-Flow Review
Slides
1/17 SSA 1
Project 1 out (skeleton)
Slides
1/22 SSA 2
Slides
1/24 SSA 3 Slides
1/29 SSA Optimizations
Slides
1/31 Iterative Dataflow Framework 1
Slides
2/5 Iterative Dataflow Framework 1 Slides
2/7 No class (work on the project)
2/12 No class (work on the project)
2/14 Iterative Dataflow Framework 3
Project 1 due.
Project 2 out.
Slides
2/19 Iterative Dataflow Framework 4
Slides
2/21 Dependence Analysis 1
Slides
2/26 Dependence Analysis 2
Slides
2/28 Dependence Transformations 1
Slides
3/5 Dependence Transformations 2
Slides
3/7 Dependence Transformations 3
Slides
3/12 Compiler Testing and Validation
Slides
3/14 Midterm
3/19 Spring Break
3/21 Spring Break
3/26 Pointer Analysis 1
Slides
3/28 Pointer Analysis 2
Slides
4/2 Interprocedural Analysis 1
4/4 Interprocedural Analysis 2
Slides
4/9 Abstract Interpretation 1
Slides
4/11 Abstract Interpretation 2`
Slides
4/16 Compilation of Approximate and Probabilistic Programs
4/18 Compiler Infrastructures for Machine Learning
4/23 Efficient Compling: Autotuning and Synthesis
Slides
4/25 Efficient Compiling: JIT, Virtual Machines
Slides
4/30 Wrap-Up
 

Resources  

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