3 Search Results for "Swalens, Janwillem"

Document
DOI: 10.4230/LIPIcs.ITCS.2026.6
Model-Generic Incrementally Verifiable Computation from Updatable BARGs

Authors: Eden Aldema Tshuva and Rotem Oshman

Published in: LIPIcs, Volume 362, 17th Innovations in Theoretical Computer Science Conference (ITCS 2026)

Abstract
Incrementally verifiable computation (IVC) is a computationally sound proof system that allows a prover to certify the correctness of a long or ongoing computation in an incremental manner, by repeatedly updating a proof certifying the computation so far. Updating the proof does not require access to the entire trace of the computation, which makes the IVC-prover memory efficient. Recently, such schemes were constructed for deterministic Turing machines from standard cryptographic assumptions (Paneth and Pass, FOCS 2022, and Devadas et al., FOCS 2022). In this work we generalize and extend IVC to support incremental certification and verifiability of a large set of computation models, focusing on distributed and online computation. This allows distributed algorithms to efficiently certify their own execution using low memory and communication overhead. We construct IVC for a variety of computation models by proving one generic lifting theorem from a classical (non-incremental) delegation scheme (also known as SNARG) into full-fledged IVC, while preserving the delegation scheme’s succinctness properties (up to an additive factor which is polynomial in the security parameter and independent of the size of the computation). Using this lifting theorem, we obtain IVC for the following computation models: - RAM and exclusive-read exclusive-write (EREW) PRAM algorithms, using existing delegation schemes for these models. - Streaming algorithms, using the natural memory-efficiency properties of the model. - Massively parallel computation (MPC). Notably, in this model, memory efficiency is a critical bottleneck: the machines participating in an MPC algorithm usually cannot store the entire trace of their computation. Thus, certifying MPC algorithms naturally benefits from IVC. Moreover, since prior to our work, no delegation scheme for this model was known, we also construct a delegation scheme for one-round massively parallel computations, and then apply our lifting theorem to it. - Distributed graph algorithms, using existing distributed delegation schemes (also known as locally verifiable distributed SNARGs). Here, in order to use our lifting theorem we have to first make some observations about the verification procedure of these existing schemes. At the heart of this work is a new abstraction, updatable batch arguments for NP (UpBARGs), which we define and construct. Standard BARGs allow one to prove a batch of k NP-statements using a proof whose length barely grows with k; however, the statements and their witnesses must all be known in advance. In contrast, UpBARGs support adding statements and witnesses on the fly, making them a flexible tool for constructing IVC across different computational models.
Cite as

Eden Aldema Tshuva and Rotem Oshman. Model-Generic Incrementally Verifiable Computation from Updatable BARGs. In 17th Innovations in Theoretical Computer Science Conference (ITCS 2026). Leibniz International Proceedings in Informatics (LIPIcs), Volume 362, pp. 6:1-6:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)

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@InProceedings{aldematshuva_et_al:LIPIcs.ITCS.2026.6,
  author =	{Aldema Tshuva, Eden and Oshman, Rotem},
  title =	{{Model-Generic Incrementally Verifiable Computation from Updatable BARGs}},
  booktitle =	{17th Innovations in Theoretical Computer Science Conference (ITCS 2026)},
  pages =	{6:1--6:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-410-9},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{362},
  editor =	{Saraf, Shubhangi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2026.6},
  URN =		{urn:nbn:de:0030-drops-252931},
  doi =		{10.4230/LIPIcs.ITCS.2026.6},
  annote =	{Keywords: incrementally verifiable computation, massively parallel computation, streaming, parallel RAM, batch arguments, SNARG}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2016.23
Transactional Tasks: Parallelism in Software Transactions

Authors: Janwillem Swalens, Joeri De Koster, and Wolfgang De Meuter

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

Abstract
Many programming languages, such as Clojure, Scala, and Haskell, support different concurrency models. In practice these models are often combined, however the semantics of the combinations are not always well-defined. In this paper, we study the combination of futures and Software Transactional Memory. Currently, futures created within a transaction cannot access the transactional state safely, violating the serializability of the transactions and leading to undesired behavior. We define transactional tasks: a construct that allows futures to be created in transactions. Transactional tasks allow the parallelism in a transaction to be exploited, while providing safe access to the state of their encapsulating transaction. We show that transactional tasks have several useful properties: they are coordinated, they maintain serializability, and they do not introduce non-determinism. As such, transactional tasks combine futures and Software Transactional Memory, allowing the potential parallelism of a program to be fully exploited, while preserving the properties of the separate models where possible.
Cite as

Janwillem Swalens, Joeri De Koster, and Wolfgang De Meuter. Transactional Tasks: Parallelism in Software Transactions. In 30th European Conference on Object-Oriented Programming (ECOOP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 56, pp. 23:1-23:28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{swalens_et_al:LIPIcs.ECOOP.2016.23,
  author =	{Swalens, Janwillem and De Koster, Joeri and De Meuter, Wolfgang},
  title =	{{Transactional Tasks: Parallelism in Software Transactions}},
  booktitle =	{30th European Conference on Object-Oriented Programming (ECOOP 2016)},
  pages =	{23:1--23:28},
  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.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2016.23},
  URN =		{urn:nbn:de:0030-drops-61173},
  doi =		{10.4230/LIPIcs.ECOOP.2016.23},
  annote =	{Keywords: Concurrency, Parallelism, Futures, Threads, Fork/Join, Software Transactional Memory}
}
Document
DOI: 10.4230/DARTS.2.1.13
Transactional Tasks: Parallelism in Software Transactions (Artifact)

Authors: Janwillem Swalens

Published in: DARTS, Volume 2, Issue 1, Special Issue of the 30th European Conference on Object-Oriented Programming (ECOOP 2016)

Abstract
Many programming languages support different concurrency models. In practice these models are often combined, however the semantics of the combinations are not always well-defined. We studied the combination of futures and Software Transactional Memory. We introduce transactional tasks, a mechanism to create futures in a transaction. Transactional tasks allow the parallelism in a transaction to be exploited, while providing safe access to the state of their encapsulating transaction. We created Clojure-TxTk, a fork of Clojure with support for transactional tasks. Furthermore, we ported two applications from the STAMP benchmark suite, and extended these to use transactional tasks: Labyrinth-TxTk and Bayes-TxTk. Lastly, TxTk-Redex is a machine-executable implementation of the operational semantics, in PLT Redex.
Cite as

Janwillem Swalens. Transactional Tasks: Parallelism in Software Transactions (Artifact). In Special Issue of the 30th European Conference on Object-Oriented Programming (ECOOP 2016). Dagstuhl Artifacts Series (DARTS), Volume 2, Issue 1, pp. 13:1-13:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{swalens:DARTS.2.1.13,
  author =	{Swalens, Janwillem},
  title =	{{Transactional Tasks: Parallelism in Software Transactions (Artifact)}},
  pages =	{13:1--13:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2016},
  volume =	{2},
  number =	{1},
  editor =	{Swalens, Janwillem},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.2.1.13},
  URN =		{urn:nbn:de:0030-drops-61348},
  doi =		{10.4230/DARTS.2.1.13},
  annote =	{Keywords: Concurrency, Parallelism, Futures, Threads, Fork/Join, Software Transactional Memory}
}
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