5 Search Results for "Barrett, Edd"

Document
DOI: 10.4230/LIPIcs.ECOOP.2025.3
Pydrofoil: Accelerating Sail-Based Instruction Set Simulators

Authors: Carl Friedrich Bolz-Tereick, Luke Panayi, Ferdia McKeogh, Tom Spink, and Martin Berger

Published in: LIPIcs, Volume 333, 39th European Conference on Object-Oriented Programming (ECOOP 2025)

Abstract
We present Pydrofoil, a multi-stage compiler that generates instruction set simulators (ISSs) from processor instruction set architectures (ISAs) expressed in the high-level, verification-oriented ISA specification language Sail. Pydrofoil achieves a > 230× speedup over the C-based ISS generated by Sail on our benchmarks, thanks to the following insights. (i) An ISS is effectively an interpreter loop, and tracing just-in-time (JIT) compilers have proven effective at accelerating those, albeit mostly for dynamically typed languages. (ii) ISS workloads are highly atypical, dominated by intensive bit manipulation operations. Conventional compiler optimisations for general-purpose programming languages have limited impact for speeding up such workloads. We develop suitable domain-specific optimisations. (iii) Neither tracing JIT compilers, nor ahead-of-time (AOT) compilation alone, even with domain-specific optimisations, suffice for the generation of performant ISSs. Pydrofoil therefore implements a hybrid approach, pairing an AOT compiler with a tracing JIT built on the meta-tracing PyPy framework. AOT and JIT use domain-specific optimisations. Our benchmarks demonstrate that combining AOT and JIT compilers provides significantly greater performance gains than using either compiler alone.
Cite as

Carl Friedrich Bolz-Tereick, Luke Panayi, Ferdia McKeogh, Tom Spink, and Martin Berger. Pydrofoil: Accelerating Sail-Based Instruction Set Simulators. In 39th European Conference on Object-Oriented Programming (ECOOP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 333, pp. 3:1-3:31, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{bolztereick_et_al:LIPIcs.ECOOP.2025.3,
  author =	{Bolz-Tereick, Carl Friedrich and Panayi, Luke and McKeogh, Ferdia and Spink, Tom and Berger, Martin},
  title =	{{Pydrofoil: Accelerating Sail-Based Instruction Set Simulators}},
  booktitle =	{39th European Conference on Object-Oriented Programming (ECOOP 2025)},
  pages =	{3:1--3:31},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-373-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{333},
  editor =	{Aldrich, Jonathan and Silva, Alexandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2025.3},
  URN =		{urn:nbn:de:0030-drops-232962},
  doi =		{10.4230/LIPIcs.ECOOP.2025.3},
  annote =	{Keywords: Instruction set architecture, processor, domain-specific language, just-in-time compilation, meta-tracing}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2025.25
Reusing Highly Optimized IR in Dynamic Compilation

Authors: Andrej Pečimúth, David Leopoldseder, and Petr Tůma

Published in: LIPIcs, Volume 333, 39th European Conference on Object-Oriented Programming (ECOOP 2025)

Abstract
Virtual machines (VMs) with dynamic compilers typically specialize compiled code to the state of the running VM instance and thus cannot reuse the code between multiple runs of the same application. The JIT compiler must recompile the same methods for each run of the application separately, which can prolong the application’s warmup time. We propose a technique to reduce compilation time by reusing a highly optimized intermediate representation (IR). We achieve this by tracing compiler-interface calls during compilation. The validity of the specializations in the IR is verified during a replay stage, and the replay also facilitates the relocation of runtime object references. The IR is stored on a compilation server, which can compile it to machine code and provide the code to local or remote VM instances. We implemented a compilation server with IR caching for GraalVM, a high-performance production-grade Java Virtual Machine (JVM). We present an evaluation based on four industry-standard benchmark suites. In each suite, our approach reduces compilation time by 23.6% to 36.8% and warmup time by 13.1% to 21.2% on average while preserving peak application performance.
Cite as

Andrej Pečimúth, David Leopoldseder, and Petr Tůma. Reusing Highly Optimized IR in Dynamic Compilation. In 39th European Conference on Object-Oriented Programming (ECOOP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 333, pp. 25:1-25:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{pecimuth_et_al:LIPIcs.ECOOP.2025.25,
  author =	{Pe\v{c}im\'{u}th, Andrej and Leopoldseder, David and T\r{u}ma, Petr},
  title =	{{Reusing Highly Optimized IR in Dynamic Compilation}},
  booktitle =	{39th European Conference on Object-Oriented Programming (ECOOP 2025)},
  pages =	{25:1--25:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-373-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{333},
  editor =	{Aldrich, Jonathan and Silva, Alexandra},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2025.25},
  URN =		{urn:nbn:de:0030-drops-233176},
  doi =		{10.4230/LIPIcs.ECOOP.2025.25},
  annote =	{Keywords: code reuse, compilation time, warmup, remote compilation, dynamic compilation, virtual machines}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2020.6
Don't Panic! Better, Fewer, Syntax Errors for LR Parsers

Authors: Lukas Diekmann and Laurence Tratt

Published in: LIPIcs, Volume 166, 34th European Conference on Object-Oriented Programming (ECOOP 2020)

Abstract
Syntax errors are generally easy to fix for humans, but not for parsers in general nor LR parsers in particular. Traditional "panic mode" error recovery, though easy to implement and applicable to any grammar, often leads to a cascading chain of errors that drown out the original. More advanced error recovery techniques suffer less from this problem but have seen little practical use because their typical performance was seen as poor, their worst case unbounded, and the repairs they reported arbitrary. In this paper we introduce the CPCT+ algorithm, and an implementation of that algorithm, that address these issues. First, CPCT+ reports the complete set of minimum cost repair sequences for a given location, allowing programmers to select the one that best fits their intention. Second, on a corpus of 200,000 real-world syntactically invalid Java programs, CPCT+ is able to repair 98.37%±0.017% of files within a timeout of 0.5s. Finally, CPCT+ uses the complete set of minimum cost repair sequences to reduce the cascading error problem, where incorrect error recovery causes further spurious syntax errors to be identified. Across the test corpus, CPCT+ reports 435,812±473 error locations to the user, reducing the cascading error problem substantially relative to the 981,628±0 error locations reported by panic mode.
Cite as

Lukas Diekmann and Laurence Tratt. Don't Panic! Better, Fewer, Syntax Errors for LR Parsers. In 34th European Conference on Object-Oriented Programming (ECOOP 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 166, pp. 6:1-6:32, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{diekmann_et_al:LIPIcs.ECOOP.2020.6,
  author =	{Diekmann, Lukas and Tratt, Laurence},
  title =	{{Don't Panic! Better, Fewer, Syntax Errors for LR Parsers}},
  booktitle =	{34th European Conference on Object-Oriented Programming (ECOOP 2020)},
  pages =	{6:1--6:32},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-154-2},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{166},
  editor =	{Hirschfeld, Robert and Pape, Tobias},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2020.6},
  URN =		{urn:nbn:de:0030-drops-131630},
  doi =		{10.4230/LIPIcs.ECOOP.2020.6},
  annote =	{Keywords: Parsing, error recovery, programming languages}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2016.3
Fine-grained Language Composition: A Case Study

Authors: Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt

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

Abstract
Although run-time language composition is common, it normally takes the form of a crude Foreign Function Interface (FFI). While useful, such compositions tend to be coarse-grained and slow. In this paper we introduce a novel fine-grained syntactic composition of PHP and Python which allows users to embed each language inside the other, including referencing variables across languages. This composition raises novel design and implementation challenges. We show that good solutions can be found to the design challenges; and that the resulting implementation imposes an acceptable performance overhead of, at most, 2.6x.
Cite as

Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt. Fine-grained Language Composition: A Case Study. In 30th European Conference on Object-Oriented Programming (ECOOP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 56, pp. 3:1-3:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{barrett_et_al:LIPIcs.ECOOP.2016.3,
  author =	{Barrett, Edd and Bolz, Carl Friedrich and Diekmann, Lukas and Tratt, Laurence},
  title =	{{Fine-grained Language Composition: A Case Study}},
  booktitle =	{30th European Conference on Object-Oriented Programming (ECOOP 2016)},
  pages =	{3:1--3:27},
  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.2016.3},
  URN =		{urn:nbn:de:0030-drops-60975},
  doi =		{10.4230/LIPIcs.ECOOP.2016.3},
  annote =	{Keywords: JIT, tracing, language composition}
}
Document
DOI: 10.4230/DARTS.2.1.1
Fine-grained Language Composition: A Case Study (Artifact)

Authors: Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt

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

Abstract
This artifact is based on: PyHyp, a language composition of PHP and Python using meta-tracing; and Eco, a language composition editor. The provided package is designed to support the experiments, case studies, and demos detailed in the companion paper.
Cite as

Edd Barrett, Carl Friedrich Bolz, Lukas Diekmann, and Laurence Tratt. Fine-grained Language Composition: A Case Study (Artifact). In Special Issue of the 30th European Conference on Object-Oriented Programming (ECOOP 2016). Dagstuhl Artifacts Series (DARTS), Volume 2, Issue 1, pp. 1:1-1:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{barrett_et_al:DARTS.2.1.1,
  author =	{Barrett, Edd and Bolz, Carl Friedrich and Diekmann, Lukas and Tratt, Laurence},
  title =	{{Fine-grained Language Composition: A Case Study (Artifact)}},
  pages =	{1:1--1:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2016},
  volume =	{2},
  number =	{1},
  editor =	{Barrett, Edd and Bolz, Carl Friedrich and Diekmann, Lukas and Tratt, Laurence},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.2.1.1},
  URN =		{urn:nbn:de:0030-drops-61223},
  doi =		{10.4230/DARTS.2.1.1},
  annote =	{Keywords: JIT, tracing, language composition}
}
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