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Abstract: Automatic garbage collection relieves programmers from the burden of managing memory themselves and several techniques have been developed that make garbage collection feasible in many situations, including real time applications or within traditional programming languages. However optimal performance cannot always be achieved by a uniform general purpose solution. Sometimes an algorithm exhibits a predictable pattern of memory usage that could be better handled specifically, delaying as much... (Update)
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BibTeX entry: (Update)
@article{ attardi98customisable,
author = "Giuseppe Attardi and Tito Flagella and Pietro Iglio",
title = "A Customisable Memory Management Framework for {C++}",
journal = "Soft\-ware\emdash Prac\-tice and Experience",
volume = "28",
number = "11",
pages = "1143--1184",
year = "1998",
url = "citeseer.ist.psu.edu/attardi98customisable.html" }
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7 A customisable memory management framework - Attardi, Flagella - 1994 DBLP
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6 Customising object allocation - Attardi, Flagella - 1994 ACM DBLP
5 Performance Tuning in a Customizable Collector (context) - Attardi, Flagella et al. - 1995 ACM DBLP
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3 Personal communication (context) - Rouillier - 1994
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Documents on the same site (http://www.di.unipi.it/~attardi/papers.html): More
A Formalization of Viewpoints - Attardi, Simi (1995) (Correct)
A Customisable Memory Management Framework - Attardi, Flagella (1994) (Correct)
Memory Management in the PoSSo Solver - Attardi, Flagella (1996) (Correct)
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