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Documents authored by Ertel, Sebastian


Document
ConDRust: Scalable Deterministic Concurrency from Verifiable Rust Programs

Authors: Felix Suchert, Lisza Zeidler, Jeronimo Castrillon, and Sebastian Ertel

Published in: LIPIcs, Volume 263, 37th European Conference on Object-Oriented Programming (ECOOP 2023)


Abstract
SAT/SMT-solvers and model checkers automate formal verification of sequential programs. Formal reasoning about scalable concurrent programs is still manual and requires expert knowledge. But scalability is a fundamental requirement of current and future programs. Sequential imperative programs compose statements, function/method calls and control flow constructs. Concurrent programming models provide constructs for concurrent composition. Concurrency abstractions such as threads and synchronization primitives such as locks compose the individual parts of a concurrent program that are meant to execute in parallel. We propose to rather compose the individual parts again using sequential composition and compile this sequential composition into a concurrent one. The developer can use existing tools to formally verify the sequential program while the translated concurrent program provides the dearly requested scalability. Following this insight, we present ConDRust, a new programming model and compiler for Rust programs. The ConDRust compiler translates sequential composition into a concurrent composition based on threads and message-passing channels. During compilation, the compiler preserves the semantics of the sequential program along with much desired properties such as determinism. Our evaluation shows that our ConDRust compiler generates concurrent deterministic code that can outperform even non-deterministic programs by up to a factor of three for irregular algorithms that are particularly hard to parallelize.

Cite as

Felix Suchert, Lisza Zeidler, Jeronimo Castrillon, and Sebastian Ertel. ConDRust: Scalable Deterministic Concurrency from Verifiable Rust Programs. In 37th European Conference on Object-Oriented Programming (ECOOP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 263, pp. 33:1-33:39, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)


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@InProceedings{suchert_et_al:LIPIcs.ECOOP.2023.33,
  author =	{Suchert, Felix and Zeidler, Lisza and Castrillon, Jeronimo and Ertel, Sebastian},
  title =	{{ConDRust: Scalable Deterministic Concurrency from Verifiable Rust Programs}},
  booktitle =	{37th European Conference on Object-Oriented Programming (ECOOP 2023)},
  pages =	{33:1--33:39},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-281-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{263},
  editor =	{Ali, Karim and Salvaneschi, Guido},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2023.33},
  URN =		{urn:nbn:de:0030-drops-182263},
  doi =		{10.4230/LIPIcs.ECOOP.2023.33},
  annote =	{Keywords: concurrent programming, verification, scalability}
}
Document
Artifact
ConDRust: Scalable Deterministic Concurrency from Verifiable Rust Programs (Artifact)

Authors: Felix Suchert, Lisza Zeidler, Jeronimo Castrillon, and Sebastian Ertel

Published in: DARTS, Volume 9, Issue 2, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023)


Abstract
SAT/SMT-solvers and model checkers automate formal verification of sequential programs. Formal reasoning about scalable concurrent programs is still manual and requires expert knowledge. But scalability is a fundamental requirement of current and future programs. Sequential imperative programs compose statements, function/method calls and control flow constructs. Concurrent programming models provide constructs for concurrent composition. Concurrency abstractions such as threads and synchronization primitives such as locks compose the individual parts of a concurrent program that are meant to execute in parallel. We propose to rather compose the individual parts again using sequential composition and compile this sequential composition into a concurrent one. The developer can use existing tools to formally verify the sequential program while the translated concurrent program provides the dearly requested scalability. Following this insight, we present ConDRust, a new programming model and compiler for Rust programs. The ConDRust compiler translates sequential composition into a concurrent composition based on threads and message-passing channels. During compilation, the compiler preserves the semantics of the sequential program along with much desired properties such as determinism. Our evaluation shows that our ConDRust compiler generates concurrent deterministic code that can outperform even non-deterministic programs by up to a factor of three for irregular algorithms that are particularly hard to parallelize.

Cite as

Felix Suchert, Lisza Zeidler, Jeronimo Castrillon, and Sebastian Ertel. ConDRust: Scalable Deterministic Concurrency from Verifiable Rust Programs (Artifact). In Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023). Dagstuhl Artifacts Series (DARTS), Volume 9, Issue 2, pp. 16:1-16:3, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2023)


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@Article{suchert_et_al:DARTS.9.2.16,
  author =	{Suchert, Felix and Zeidler, Lisza and Castrillon, Jeronimo and Ertel, Sebastian},
  title =	{{ConDRust: Scalable Deterministic Concurrency from Verifiable Rust Programs (Artifact)}},
  pages =	{16:1--16:3},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2023},
  volume =	{9},
  number =	{2},
  editor =	{Suchert, Felix and Zeidler, Lisza and Castrillon, Jeronimo and Ertel, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.9.2.16},
  URN =		{urn:nbn:de:0030-drops-182562},
  doi =		{10.4230/DARTS.9.2.16},
  annote =	{Keywords: concurrent programming, verification, scalability}
}
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