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  1. Proceedings of the 3rd international symposium on Memory management (ISMM '02)
  2. Automated discovery of scoped memory regions for real-time Java
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Applying priorities to memory allocation
Understanding the connectivity of heap objects
Thread-local heaps for Java
An algorithm for parallel incremental compaction
Adaptive caching for demand prepaging
Accurate garbage collection in an uncooperative environment
Reducing pause time of conservative collectors
Visualising the train garbage collector
Heap architectures for concurrent languages using message passing
Using passive object garbage collection algorithms for garbage collection of active objects
An adaptive, region-based allocator for java
Software caching vs. prefetching
Automated discovery of scoped memory regions for real-time Java
Estimating the impact of heap liveness information on space consumption in Java
Dynamic memory management for programmable devices
Mostly lock-free malloc
In or out?: putting write barriers in their place

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Automated discovery of scoped memory regions for real-time Java

Content Provider ACM Digital Library
Author Deters, Morgan Cytron, Ron K.
Abstract Advances in operating systems and languages have brought the ideal of reasonably-bounded execution time closer to developers who need such assurances for real-time and embedded systems applications. Recently, extensions to the Java libraries and virtual machine have been proposed in an emerging standard, which provides for specification of release times, execution costs, and deadlines for a restricted class of threads. To use such features, the code executing in the thread must never reference storage that could be subject to garbage collection. The new standard provides for region-like, stack-allocated areas (scopes) of storage that are ignored by garbage collection and deallocated en masse. It now falls to the developer to adapt ordinary Java code to use the real-time Java scoped memory regions.Unfortunately, it is difficult to determine manually how to map object instantiations to scopes. Moreover, if ordinary Java code is modified to effect instantiations in scopes, the resulting code is difficult to read, maintain, and reuse. Static analysis can yield scopes that are correct across all program executions, but such analysis is necessarily conservative in nature. If too many objects appear to live forever under such analysis, then developers cannot rely on static analysis alone to form reasonable scopes.In this paper we present an approach for automatically determining appropriate storage scopes for Java objects, based on dynamic analysis---observed object lifetimes and object referencing behavior. While such analysis is perhaps unsafe across all program executions, our analysis can be coupled with static analysis to bracket object lifetimes, with the truth lying somewhere in between. We provide experimental results that show the memory regions discovered by our technique.
Starting Page 132
Ending Page 142
Page Count 11
File Format PDF
ISBN 1581135394
DOI 10.1145/512429.512433
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2002-06-20
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Garbage collection Trace-based analysis Memory management Real-time java Regions
Content Type Text
Resource Type Article
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