2006Journal of Chinese Computer SystemsRequires access

RRDGC: A Distributed Garbage Collection Algorithm on Relaxed Consistency Model

Guoliang Chen

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Abstract

Garbage collection can effectively relieve the programmers' load and optimize the design of programs.It is inefficient to perform garbage collection in the distributed shared memory system(DSM) on relaxed memory model with the traditional methods.This paper proposes a trace-based garbage collection algorithm for the DSM system based on relaxed memory model,RRDGC.It makes use of the relaxed consistency model's features to reduce the communication cost and response delay.This algorithm shows its advantage of real-time and increment,and is proved to be correct and effective.

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What this paper is about

Garbage collection can effectively relieve the programmers' load and optimize the design of programs.It is inefficient to perform garbage collection in the distributed shared memory system(DSM) on relaxed memory model with the traditional methods.This paper proposes a trace-based garbage collection algorithm for the DSM system based on relaxed memory model,RRDGC.It makes use of the relaxed consistency model's features to reduce the communication cost and response delay.This algorithm shows its advantage of real-time and increment,and is proved to be correct and effective.

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Available abstract

Garbage collection can effectively relieve the programmers' load and optimize the design of programs.It is inefficient to perform garbage collection in the distributed shared memory system(DSM) on relaxed memory model with the traditional methods.This paper proposes a trace-based garbage collection algorithm for the DSM system based on relaxed memory model,RRDGC.It makes use of the relaxed consistency model's features to reduce the communication cost and response delay.This algorithm shows its advantage of real-time and increment,and is proved to be correct and effective.

Key concepts: Garbage collection, Computer science, Garbage, Manual memory management, Consistency (knowledge bases), TRACE (psycholinguistics), Memory model, Memory leak

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