An Application of Constraint Programming to Superblock Instruction Scheduling

Abstract. Modern computer architectures have complex features that can only be fully taken advantage of if the compiler schedules the compiled code. A standard region of code for scheduling in an optimizing compiler is called a superblock. Scheduling superblocks optimally is known to be NP-complete, and production compilers use non-optimal heuristic algorithms. In this paper, we present an application of constraint programming to the superblock instruction scheduling problem. The resulting system is both optimal and fast enough to be incorporated into production compilers, and is the first optimal superblock scheduler for realistic architectures. In developing our optimal scheduler, the keys to scaling up to large, real problems were in applying and adapting several techniques from the literature including: implied and dominance constraints, impact-based variable ordering heuristics, singleton bounds consistency, portfolios, and structure-based decomposition techniques. We experimentally evaluated our optimal scheduler on the SPEC 200