NDLI: Cache performance of garbage-collected programs

Content Provider	ACM Digital Library
Author	Reinhold, Mark B.
Abstract	As processor speeds continue to improve relative to main-memory access times, cache performance is becoming an increasingly important component of program performance. Prior work on the cache performance of garbage-collected programs either argues or assumes that conventional garbage-collection methods will yield poor performance, and has therefore concentrated on new collection algorithms designed specifically to improve cache-level reference locality.This paper argues to the contrary: Many programs written in garbage-collected languages are naturally well-suited to the direct-mapped caches typically found in modern computer systems. Garbage-collected programs written in a mostly-functional style should perform well when simple linear storage allocation and an infrequently-run generational compacting collector are employed; sophisticated collectors intended to improve cache performance are unlikely to be necessary. As locality becomes ever more important to program performance, programs of this kind may turn out to have a significant performance advantage over programs written in traditional languages.
Starting Page	206
Ending Page	217
Page Count	12
File Format	PDF
ISSN	03621340 15581160
DOI	10.1145/773473.178261
Journal	ACM SIGPLAN Notices (SIGP)
Volume Number	29
Issue Number	6
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1983-05-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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Reducing garbage collector cache misses

Using generational garbage collection to implement cache-conscious data placement

Recycling trash in cache

Automatic Accurate Live Memory Analysis for Garbage-Collected Languages

Effective “static-graph” reorganization to improve locality in garbage-collected systems

Cork:dynamic memory leak detection for garbage-collected languages

Profile-guided proactive garbage collection for locality optimization

Opportunistic garbage collection

Contaminated garbage collection

Cache performance of garbage-collected programs

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Reducing garbage collector cache misses

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Recycling trash in cache

Automatic Accurate Live Memory Analysis for Garbage-Collected Languages

Effective “static-graph” reorganization to improve locality in garbage-collected systems

Cork:dynamic memory leak detection for garbage-collected languages

Profile-guided proactive garbage collection for locality optimization

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