Dynamic Metrics for Compiler Developers

TL;DRAbstract

In order to perform meaningful experiments in optimizing compilation and run-time system design, researchers usually rely on a suite of benchmark programs of interest to the optimization technique under consideration. Programs are described as numeric, memory-intensive, concurrent, or object-oriented, based on a qualitative appraisal, in some cases with little justification. We believe it is beneficial to quantify the behavior of programs with a concise and precisely defined set of metrics, in order to make these intuitive notions of program behavior more concrete and subject to experimental validation. We therefore define a set of unambiguous, dynamic, robust and architectureindependent metrics that can be used to categorize programs according to their dynamic behavior in five areas: size, data structure, memory use, concurrency, and polymorphism. A framework computing some of these metrics for Java programs is presented along with specific results.

Chat with Paper

AI Agents for this Paper