| Instructor: | Keshav Pingali |
| email: | pingali@cs.utexas.edu |
| Phone: | 232-6567 |
| Class Hours: | Tuesday & Thursday 9:30-11:00, RAS 312 |
| Office Hours: | 1:00-2:00PM, Tuesday, ACES 4.126A |
| TA: | Suriya Subramanian |
| email: | suriya@cs.utexas.edu |
| Office Hours: | Wednesdays 3:00PM-4:00PM in ENS
31 NQ Desk 1 |
| Administrative Assistant | Aubrey Hooser |
| email: | aubrey@ices.utexas.edu |
| phone: | 232 7460 |
| office: | ACES 4.126 |
Course materials
| Lecture
Schedule and Notes
|
| Assignments |
| Clarifications (Please look here
to see if your question has already been answered) |
| Errata
|
| Projects |
Description
This course will focus on compilation techniques for optimizing program
execution on uniprocessors and multicore processors. We will
begin with classical topics such as intermediate program
representations, interprocedural
and intraprocedural dataflow analysis, register allocation,
and scheduling for modern uniprocessors. Then we will discuss multicore
processors, and study techniques such as dependence analysis, loop
transformations, points-to analysis, and shape analysis for optimizing
the execution of regular and irregular programs on multicore
processors. We conclude with a discussion of current research
directions in compilers.
Course work
There will be written assignments as well
as programming assignments. Written assignments will test understanding
of concepts while programming projects will provide experience with
implementation issues and allow students to evaluate the impact of
individual
techniques. A final project gives students experience with systems
research.
Prerequisites
An undergraduate compiler course and architecture course, or permission
of instructor.
Programming
experience in the context of a larger system is helpful. This page gives a more detailed list of
concepts you should be familiar with.
Grading
Academic Integrity
Feel free to discuss homework and labs with other members of the class,
myself, or the TA. However, do not look at or copy anyone else's
solutions
to a homework or lab. I am not concerned with how you come to
understand
the problem and how to solve it, but once you have the background
necessary
to solve it, you must provide your own solution.
The Student Code of Conduct documents your rights and responsibilities as a student.
Course Materials
We will be using papers (rather than a synthesizing book) in this
class. Some of the course material is presented in these books.
Topics