CS580P: Programming Models for Emerging Platforms, Spring 2009

Essentials

• Time: T Th 1:15-2:40PM.
• Classroom: Student Services Wing 327.
• Professor: David Liu. Office hour: T Th 3:15-4:15 (room G25 Engineering Building, NOT my office!).
• TA: Sapna Gursahani. Office hour: M W 11-12 (room T5). Email: sgursah1@binghamton.edu.
• Blackboard System, where lecture slides and assignments are posted.

Topics

This is an exciting period of time for the rapid change of landscapes of computation platforms. A number of previously ``high-end'' and ``research-only'' platforms have experienced the dramatic widespread use in recent years. Multi-core CPUs are swiftly adopted by PCs. A good number of sensor networks are deployed for public interests and scientific investigations. Game chips inside XBox 360, PS3, and Wii are shipped to common households. These emerging platforms bring along new requirements and challenges for programming language design and implementation. This course investigates a wide range of state-of-the-art programming models that can potentially impact the future programming practice for these platforms. In particular, we will look into several topics in great detail:

• programming models for multi-core CPUs
• programming models for sensor networks
• programming models for game chips

Recommended Textbooks

• Brian Goetz, Tim Peierls, Joshua Bloch, Joseph Bowbeer, David Holmes, Doug Lea, Java Concurrency in Practice. Addison-Wesley Professional, ISBN-10: 0321349601.

Grading

• Project (1): 35%
• Mid-Term Exam (1, in late April or early May): 25%
• Assignments (1-3): 15%
• Presentation (1): 15%
• Attendance and Participation: 10%

Project

Students are expected to form groups of 2-4 people, working on one large programming project. On unusual circumstances, 1-person teams are also allowed, but they require the permission from the instructor. The topic of the project will be announced in the class.

The project will be checkpointed regularly. Grades are given on a stage-by-stage basis.

Presentation

Students are expected to form groups of 1-3 people to give presentations. Each presentation lasts around 30 minutes, followed by a 10-minute Q&A session. Each presentation will focus on a specific topic, a list of which will be given 2-3 weeks before the presentation.

One exception to the paper presentations is that you can present your own research results if they are closely related to the course. Please discuss with the instructor ahead of time.

Be a Happy CS580P Student

• The focus of the course is programming language design and implementation, not programming itself or software development. For instance, students who expect to learn writing a perfect video game might be disappointed -- we will only briefly talk about that topic, and the focus will be on how to design a good language for writing video games.
• This is an advanced, research-oriented, graduate-level course. We will investigate 10-15 programming languages/models within a semester, many of which are very different from your everyday favorites like C/C++/Java, and some of which did not exist until 2 or 3 years ago. An adventurous, creative, and non-conformist student is expected to be happier than one only willing to learn today's standard practices in industry.
• Pre-requisites: CS 325 (Computer Architecture) or CS 522 (Computer Architecture and Organization) or permission of the instructor. CS 571 (Programming Languages) or experience with object-oriented languages and functional languages. CS 350 (Operating Systems) or significant knowledge of concurrency.
• This course is categorized as a large-programming course. Significant programming skills in Java or similar languages are expected. The project will require basic knowledge of compiler design. Students who have not taken CS 571 or equivalent should discuss with the instructor, or at least team up with someone who has.

Dateline

This dateline is being developed incrementally and iteratively. The schedules and topics will be continually updated to reflect any changes.

Useful Links

• Polyglot
• ANTLR
• FLEX Manual
• Bison Manual
• Hybrid Transactional Memory
• Atomos
• X10

Academic Honesty

• Student Academic Honesty Code