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  1. Proceedings of the 2010 international symposium on Memory management (ISMM '10)
  2. Concurrent, parallel, real-time garbage-collection
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Tracing garbage collection on highly parallel platforms
CETS: compiler enforced temporal safety for C
Memory, an elusive abstraction
Collecting hollywood's garbage: avoiding space-leaks in composite events
The locality of concurrent write barriers
The economics of garbage collection
Concurrent, parallel, real-time garbage-collection
PHALANX: parallel checking of expressive heap assertions
Speculative parallelization using state separation and multiple value prediction
Efficient memory shadowing for 64-bit architectures
A graph theoretic approach to cache-conscious placement of data for direct mapped caches
Optimizations in a private nursery-based garbage collector
Improved replication-based incremental garbage collection for embedded systems
Parametric inference of memory requirements for garbage collected languages

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Concurrent, parallel, real-time garbage-collection

Content Provider ACM Digital Library
Author Siebert, Fridtjof
Abstract With the current developments in CPU implementations, it becomes obvious that ever more parallel multicore systems will be used even in embedded controllers that require real-time guarantees. When garbage collection is used in these systems, parallel and concurrent garbage collection brings important performance advantages in the average case. In a real-time system, however, guarantees on the GC's performance in the worst case are required. This paper explains how the single-CPU real-time GC of the Java implementation JamaicaVM was changed to make it a hard real-time garbage collector that is parallel and concurrent. Parallel means that an arbitrary number of CPUs may perform GC work in parallel, while concurrent means that the GC work can be performed concurrently to the application code without pre-empting the application. In addition, the single units of work that this garbage collector has to perform are very small and uniform and the total amount of GC work is bounded by a function of the heap size, such that it becomes possible for any application that has a bounded amount of reachable memory to run the GC work such that sufficient GC progress can be ensured for the application never to run out of heap space.
Starting Page 11
Ending Page 20
Page Count 10
File Format PDF
ISBN 9781450300544
DOI 10.1145/1806651.1806654
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-06-05
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Garbage collection Multicore Java Concurrent Real-time Parallel
Content Type Text
Resource Type Article
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