A Conservative Technique to Improve Deterministic Evaluation of Logic Programs

The performance of logic programs can be significantly improved by reducing nondeterminism in their evaluation using techniques for early pruning of computation paths that would eventually fail. Using static information gleaned from the program, we can identify (simple) conditions that must hold for certain computation paths to succeed, and test them before searching along those paths. However, naive introduction of such tests can actually lead to performance degradation since tests may be repeated along a branch, and also because the tests themselves may create additional choice points. We therefore develop a program transformation algorithm that enables us to introduce only those tests that facilitate early pruning of failure branches, while providing formal guarantees against any performance degradation. Our transformation is based on a novel polyvariant program specialization technique that can reason about the relative execution times of the original and transformed programs. We p..