Assessing the Limits of Program-Specific Garbage Collection Performance

Citation:
Jacek, N., M. - C. Chiu, B. Marlin, and E. J. B. Moss, "Assessing the Limits of Program-Specific Garbage Collection Performance", Programming Language Design and Implementation, 2016.

Abstract:

We consider the ultimate limits of program-specific garbage collector performance for real programs. We first characterize the GC schedule optimization problem using Markov Decision Processes (MDPs). Based on this characterization, we develop a method of determining, for a given program run and heap size, an optimal schedule of collections for a non-generational collector. We further explore the limits of performance of a generational collector, where it is not feasible to search the space of schedules to prove optimality. Still, we show significant improvements with Least Squares Policy Iteration, a reinforcement learning technique for solving MDPs. We demonstrate that there is considerable promise to reduce garbage collection costs by developing program-specific collection policies.

Notes:

Distinguished Paper Award