Search Results

Documents authored by Van Es, Noah

Document
Artifact
DOI: 10.4230/DARTS.5.2.7
Garbage-Free Abstract Interpretation Through Abstract Reference Counting (Artifact)

Authors: Noah Van Es, Quentin Stiévenart, and Coen De Roover

Published in: DARTS, Volume 5, Issue 2, Special Issue of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019)

Abstract
This artifact is a modified version of Scala-AM, an abstract interpretation framework implemented in Scala. Specifically, we extended Scala-AM with several implementations of machine abstractions that each employ a different approach to abstract garbage collection. These include traditional (tracing-based) approaches to abstract garbage collection, as well as our own novel approach using abstract reference counting. In particular, using the machine abstraction that employs abstract reference counting (with cycle detection) results in a garbage-free abstract interpreter can greatly improve both the precision and performance of the corresponding machine abstraction in the original version of the Scala-AM framework. We have set up the framework in such a way that one can easily run a variety of experiments to use, evaluate and compare these approaches to abstract garbage collection. This artifact contains documentation on how these experiments can be configured, specifically to reproduce the results presented in the companion paper.
Cite as

Noah Van Es, Quentin Stiévenart, and Coen De Roover. Garbage-Free Abstract Interpretation Through Abstract Reference Counting (Artifact). In Special Issue of the 33rd European Conference on Object-Oriented Programming (ECOOP 2019). Dagstuhl Artifacts Series (DARTS), Volume 5, Issue 2, pp. 7:1-7:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@Article{vanes_et_al:DARTS.5.2.7,
  author =	{Van Es, Noah and Sti\'{e}venart, Quentin and De Roover, Coen},
  title =	{{Garbage-Free Abstract Interpretation Through Abstract Reference Counting}},
  pages =	{7:1--7:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2019},
  volume =	{5},
  number =	{2},
  editor =	{Van Es, Noah and Sti\'{e}venart, Quentin and De Roover, Coen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.5.2.7},
  URN =		{urn:nbn:de:0030-drops-107843},
  doi =		{10.4230/DARTS.5.2.7},
  annote =	{Keywords: static analysis, abstract interpretation, abstract garbage collection, reference counting}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2019.10
Garbage-Free Abstract Interpretation Through Abstract Reference Counting

Authors: Noah Van Es, Quentin Stiévenart, and Coen De Roover

Published in: LIPIcs, Volume 134, 33rd European Conference on Object-Oriented Programming (ECOOP 2019)

Abstract
Abstract garbage collection is the application of garbage collection to an abstract interpreter. Existing work has shown that abstract garbage collection can improve both the interpreter’s precision and performance. Current approaches rely on heuristics to decide when to apply abstract garbage collection. Garbage will build up and impact precision and performance when the collection is applied infrequently, while too frequent applications will bring about their own performance overhead. A balance between these tradeoffs is often difficult to strike. We propose a new approach to cope with the buildup of garbage in the results of an abstract interpreter. Our approach is able to eliminate all garbage, therefore obtaining the maximum precision and performance benefits of abstract garbage collection. At the same time, our approach does not require frequent heap traversals, and therefore adds little to the interpreters’s running time. The core of our approach uses reference counting to detect and eliminate garbage as soon as it arises. However, reference counting cannot deal with cycles, and we show that cycles are much more common in an abstract interpreter than in its concrete counterpart. To alleviate this problem, our approach detects cycles and employs reference counting at the level of strongly connected components. While this technique in general works for any system that uses reference counting, we argue that it works particularly well for an abstract interpreter. In fact, we show formally that for the continuation store, where most of the cycles occur, the cycle detection technique only requires O(1) amortized operations per continuation push. We present our approach formally, and provide a proof-of-concept implementation in the Scala-AM framework. We empirically show our approach achieves both the optimal precision and significantly better performance compared to existing approaches to abstract garbage collection.
Cite as

Noah Van Es, Quentin Stiévenart, and Coen De Roover. Garbage-Free Abstract Interpretation Through Abstract Reference Counting. In 33rd European Conference on Object-Oriented Programming (ECOOP 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 134, pp. 10:1-10:33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

Copy BibTex To Clipboard

@InProceedings{vanes_et_al:LIPIcs.ECOOP.2019.10,
  author =	{Van Es, Noah and Sti\'{e}venart, Quentin and De Roover, Coen},
  title =	{{Garbage-Free Abstract Interpretation Through Abstract Reference Counting}},
  booktitle =	{33rd European Conference on Object-Oriented Programming (ECOOP 2019)},
  pages =	{10:1--10:33},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-111-5},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{134},
  editor =	{Donaldson, Alastair F.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2019.10},
  URN =		{urn:nbn:de:0030-drops-108022},
  doi =		{10.4230/LIPIcs.ECOOP.2019.10},
  annote =	{Keywords: abstract interpretation, abstract garbage collection, reference counting}
}
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact