Exploiting prolific types for memory management and optimizations
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Finding your cronies: static analysis for dynamic object colocation
OOPSLA '04 Proceedings of the 19th annual ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
Dynamic object sampling for pretenuring
Proceedings of the 4th international symposium on Memory management
ACM Transactions on Programming Languages and Systems (TOPLAS)
Software—Practice & Experience
Efficient runtime tracking of allocation sites in Java
Proceedings of the 6th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Headroom-based pretenuring: dynamically pretenuring objects that live "long enough"
Proceedings of the 8th International Conference on the Principles and Practice of Programming in Java
Understanding the impact of collection contracts on design
TOOLS'10 Proceedings of the 48th international conference on Objects, models, components, patterns
Reducing biased lock revocation by learning
Proceedings of the 6th Workshop on Implementation, Compilation, Optimization of Object-Oriented Languages, Programs and Systems
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The performance of automatic memory management may be improved if the policies used in allocating and collecting objects had knowledge of the lifetimes of objects. To date, approaches to the pretenuring of objects in older generations have relied on profile-driven feedback gathered from trace runs. This feedback has been used to specialize allocation sites in a program. These approaches suffer from a number of limitations. We propose an alternative that through efficient sampling of objects allows for on-line adaption of allocation sites to improve the efficiency of the memory system. In doing so, we make use of a facility already present in many collectors such as those found in Java™ virtual machines: weak references. By judiciously tracking a subset of allocated objects with weak references, we are able to gather the necessary statistics to make better object-placement decisions.