Adaptive, Application-specific Garbage Collection
Sunil Soman, Chandra Krintz, and David Bacon
UCSB Technical Report 2003-07, March 21st, 2003
(Gzipped pdf)
Abstract
In this paper,
we describe a novel execution environment that can dynamically
switch between garbage collection systems. As such, it enables
selection of the most appropriate allocator and collector for
a given application and underlying resource availability. Our
system is novel in that it is able to switch between
a wide range of diverse collection systems. It uses program
annotations to guide selection of the collection system. In addition,
it can automatically identify when to switch collectors when program
execution behavior warrants it, i.e., it is adaptive. Our system
introduces little overhead and accurately identifies the best
collector for a wide range of benchmarks
and heap sizes.