In a generational garbage collector, a pre-tenured object is one that is allocated directly in the old generation. Pretenuring long-lived objects reduces the number of times that they are scanned or copied during garbage collection. Previous work has investigated pre-tenuring based on off-line analysis of execution traces. This paper builds on that work by presenting a dynamic technique in which the decision to pre-tenure a particular kind of object is taken at run-time. This allows decisions to depend on the inputs of a particular application run and also allows decisions to be changed as the application enters different phases. An implementation is presented for the ResearchVM Java Virtual Machine.
In a generational garbage collector, a pre-tenured object is one that is allocated directly in the old generation. Pretenuring long-lived objects reduces the number of times that they are scanned or copied during garbage collection. Previous work has investigated pre-tenuring based on off-line analysis of execution traces. This paper builds on that work by presenting a dynamic technique in which the decision to pre-tenure a particular kind of object is taken at run-time. This allows decisions to depend on the inputs of a particular application run and also allows decisions to be changed as the application enters different phases. An implementation is presented for the ResearchVM Java Virtual Machine.
This article presents a novel technique for allowing the early recovery of storage space occupied by garbage data. The idea is similar to that of generational garbage collection, except that heap is partitioned based on a static analysis of data type definitions rather than on the approximate age of allocated objects. A prototype implementation is presented, along with initial results and ideas for future work.
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