All assignments and activities associated with this course must be performed in accordance with the University of Rochester's Academic Honesty Policy. More information is available at: http://www.rochester.edu/college/honesty.
(mine) Compiler analysis is a field with deep, beautiful theory and immediate, important real-world applications. Nearly all computation is specified as programs, and this course will teach you to write programs that analyze and transform other programs. Learn the subject that tries to answer the questions that gave birth to Computer Science!
(from CDCS) Programming is the automation of information processing. Program analysis and transformation is the automation of programming itself---how much a program can understand and improve other programs. Because of the diversity and complexity of computer hardware, programmers increasingly depend on automation in compilers and other tools to deliver efficient and reliable software. This course combines fundamental principles and (hands-on) practical applications. Specific topics include data flow and dependence theories; static and dynamic program transformation including parallelization; memory and cache management; type checking and program verification; and performance analysis and modeling. The knowledge and practice will help students to become experts in software performance and correctness. Students taking the graduate level will have additional course requirements and a more difficult project.
Students who take this course will learn:
CSC254 (or equivalent basic compilers course) required; CSC252 (or basic computer organization/architecture course) recommended.
Students taking the 4xx version of this course should expect to read more, and expect to solve different problems.
Inform the instructor in advance if circumstances beyond your control will make you miss a deadline.