机构:
Internet and Mobile Syst. Laboratory, HP Laboratories Palo Alto
Hewlett-Packard Laboratories, MS 1U-17, 1501 Page Mill Rd., Palo Alto, CA 94304-1126Internet and Mobile Syst. Laboratory, HP Laboratories Palo Alto
Boehm, Hans-J.
[1
,2
]
机构:
[1] Internet and Mobile Syst. Laboratory, HP Laboratories Palo Alto
[2] Hewlett-Packard Laboratories, MS 1U-17, 1501 Page Mill Rd., Palo Alto, CA 94304-1126
来源:
HP Laboratories Technical Report
|
2000年
/
99期
关键词:
Algorithms - Computer systems - Data storage equipment - Data structures - Hierarchical systems - Refuse disposal;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Cache misses are currently a major factor in the cost of garbage collection, and we expect them to dominate in the future. Traditional garbage collection algorithms exhibit relatively little temporal locality; each live object in the heap is likely to be touched exactly once during each garbage collection. We measure two techniques for dealing with this issue: prefetch-on-grey, and lazy sweeping. The first of these is new in this context. Lazy sweeping has been in common use for a decade. It was introduced as a mechanism for reducing paging and pause times; we argue that it is also crucial for eliminating cache misses during the sweep phase. Our measurements are obtained in the context of a non-moving garbage collector. Fully copying garbage collection inherently requires more traffic through the cache, and thus probably also stands to benefit substantially from something like the prefetch-on-grey technique. Generational garbage collection may reduce the benefit of these techniques for some applications, but experiments with a non-moving generational collector suggest that they remain quite useful.