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Documents authored by Schäfer, Max

Document
Artifact
DOI: 10.4230/DARTS.7.2.5
Enabling Additional Parallelism in Asynchronous JavaScript Applications (Artifact)

Authors: Ellen Arteca, Frank Tip, and Max Schäfer

Published in: DARTS, Volume 7, Issue 2, Special Issue of the 35th European Conference on Object-Oriented Programming (ECOOP 2021)

Abstract
JavaScript is a single-threaded programming language, so asynchronous programming is practiced out of necessity to ensure that applications remain responsive in the presence of user input or interactions with file systems and networks. However, many JavaScript applications execute in environments that do exhibit concurrency by, e.g., interacting with multiple or concurrent servers, or by using file systems managed by operating systems that support concurrent I/O. In this paper, we demonstrate that JavaScript programmers often schedule asynchronous I/O operations suboptimally, and that reordering such operations may yield significant performance benefits. Concretely, we define a static side-effect analysis that can be used to determine how asynchronous I/O operations can be refactored so that asynchronous I/O-related requests are made as early as possible, and so that the results of these requests are awaited as late as possible. While our static analysis is potentially unsound, we have not encountered any situations where it suggested reorderings that change program behavior. We evaluate the refactoring on 20 applications that perform file- or network-related I/O. For these applications, we observe average speedups ranging between 0.99% and 53.6% for the tests that execute refactored code (8.1% on average).
Cite as

Ellen Arteca, Frank Tip, and Max Schäfer. Enabling Additional Parallelism in Asynchronous JavaScript Applications (Artifact). In Special Issue of the 35th European Conference on Object-Oriented Programming (ECOOP 2021). Dagstuhl Artifacts Series (DARTS), Volume 7, Issue 2, pp. 5:1-5:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@Article{arteca_et_al:DARTS.7.2.5,
  author =	{Arteca, Ellen and Tip, Frank and Sch\"{a}fer, Max},
  title =	{{Enabling Additional Parallelism in Asynchronous JavaScript Applications (Artifact)}},
  pages =	{5:1--5:6},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2021},
  volume =	{7},
  number =	{2},
  editor =	{Arteca, Ellen and Tip, Frank and Sch\"{a}fer, Max},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DARTS.7.2.5},
  URN =		{urn:nbn:de:0030-drops-140290},
  doi =		{10.4230/DARTS.7.2.5},
  annote =	{Keywords: asynchronous programming, refactoring, side-effect analysis, performance optimization, static analysis, JavaScript}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2021.7
Enabling Additional Parallelism in Asynchronous JavaScript Applications

Authors: Ellen Arteca, Frank Tip, and Max Schäfer

Published in: LIPIcs, Volume 194, 35th European Conference on Object-Oriented Programming (ECOOP 2021)

Abstract
JavaScript is a single-threaded programming language, so asynchronous programming is practiced out of necessity to ensure that applications remain responsive in the presence of user input or interactions with file systems and networks. However, many JavaScript applications execute in environments that do exhibit concurrency by, e.g., interacting with multiple or concurrent servers, or by using file systems managed by operating systems that support concurrent I/O. In this paper, we demonstrate that JavaScript programmers often schedule asynchronous I/O operations suboptimally, and that reordering such operations may yield significant performance benefits. Concretely, we define a static side-effect analysis that can be used to determine how asynchronous I/O operations can be refactored so that asynchronous I/O-related requests are made as early as possible, and so that the results of these requests are awaited as late as possible. While our static analysis is potentially unsound, we have not encountered any situations where it suggested reorderings that change program behavior. We evaluate the refactoring on 20 applications that perform file- or network-related I/O. For these applications, we observe average speedups ranging between 0.99% and 53.6% for the tests that execute refactored code (8.1% on average).
Cite as

Ellen Arteca, Frank Tip, and Max Schäfer. Enabling Additional Parallelism in Asynchronous JavaScript Applications. In 35th European Conference on Object-Oriented Programming (ECOOP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 194, pp. 7:1-7:28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{arteca_et_al:LIPIcs.ECOOP.2021.7,
  author =	{Arteca, Ellen and Tip, Frank and Sch\"{a}fer, Max},
  title =	{{Enabling Additional Parallelism in Asynchronous JavaScript Applications}},
  booktitle =	{35th European Conference on Object-Oriented Programming (ECOOP 2021)},
  pages =	{7:1--7:28},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-190-0},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{194},
  editor =	{M{\o}ller, Anders and Sridharan, Manu},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2021.7},
  URN =		{urn:nbn:de:0030-drops-140501},
  doi =		{10.4230/LIPIcs.ECOOP.2021.7},
  annote =	{Keywords: asynchronous programming, refactoring, side-effect analysis, performance optimization, static analysis, JavaScript}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2016.2
QL: Object-oriented Queries on Relational Data

Authors: Pavel Avgustinov, Oege de Moor, Michael Peyton Jones, and Max Schäfer

Published in: LIPIcs, Volume 56, 30th European Conference on Object-Oriented Programming (ECOOP 2016)

Abstract
This paper describes QL, a language for querying complex, potentially recursive data structures. QL compiles to Datalog and runs on a standard relational database, yet it provides familiar-looking object-oriented features such as classes and methods, reinterpreted in logical terms: classes are logical properties describing sets of values, subclassing is implication, and virtual calls are dispatched dynamically by considering the most specific classes containing the receiver. Furthermore, types in QL are prescriptive and actively influence program evaluation rather than just describing it. In combination, these features enable the development of concise queries based on reusable libraries, which are written in a purely declarative style, yet can be efficiently executed even on very large data sets. In particular, we have used QL to implement static analyses for various programming languages, which scale to millions of lines of code.
Cite as

Pavel Avgustinov, Oege de Moor, Michael Peyton Jones, and Max Schäfer. QL: Object-oriented Queries on Relational Data. In 30th European Conference on Object-Oriented Programming (ECOOP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 56, pp. 2:1-2:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{avgustinov_et_al:LIPIcs.ECOOP.2016.2,
  author =	{Avgustinov, Pavel and de Moor, Oege and Jones, Michael Peyton and Sch\"{a}fer, Max},
  title =	{{QL: Object-oriented Queries on Relational Data}},
  booktitle =	{30th European Conference on Object-Oriented Programming (ECOOP 2016)},
  pages =	{2:1--2:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-014-9},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{56},
  editor =	{Krishnamurthi, Shriram and Lerner, Benjamin S.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2016.2},
  URN =		{urn:nbn:de:0030-drops-60968},
  doi =		{10.4230/LIPIcs.ECOOP.2016.2},
  annote =	{Keywords: Object orientation, Datalog, query languages, prescriptive typing}
}
Document
DOI: 10.4230/DagRep.4.5.40
The Future of Refactoring (Dagstuhl Seminar 14211)

Authors: Danny Dig, William G. Griswold, Emerson Murphy-Hill, and Max Schäfer

Published in: Dagstuhl Reports, Volume 4, Issue 5 (2014)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 14211 on "The Future of Refactoring." Over the past decade, refactoring has become firmly established as an essential part of industrial software development. At the same time, academic interest in refactoring has grown at a fast pace, resulting in a large body of literature on many different aspects of refactoring. The aim of this seminar was to provide a forum for refactoring researchers and practitioners to discuss what has been achieved, get to know each others' work, and plan future collaboration. This report presents abstracts of the participants' talks and summaries of breakout sessions, and introduces some joint projects that were started as a result of the seminar.
Cite as

Danny Dig, William G. Griswold, Emerson Murphy-Hill, and Max Schäfer. The Future of Refactoring (Dagstuhl Seminar 14211). In Dagstuhl Reports, Volume 4, Issue 5, pp. 40-67, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2014)

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@Article{dig_et_al:DagRep.4.5.40,
  author =	{Dig, Danny and Griswold, William G. and Murphy-Hill, Emerson and Sch\"{a}fer, Max},
  title =	{{The Future of Refactoring (Dagstuhl Seminar 14211)}},
  pages =	{40--67},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2014},
  volume =	{4},
  number =	{5},
  editor =	{Dig, Danny and Griswold, William G. and Murphy-Hill, Emerson and Sch\"{a}fer, Max},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.4.5.40},
  URN =		{urn:nbn:de:0030-drops-46807},
  doi =		{10.4230/DagRep.4.5.40},
  annote =	{Keywords: Refactoring}
}
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