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Documents authored by Bolz, Carl Friedrich

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/LIPIcs.ECOOP.2016.4
Making an Embedded DBMS JIT-friendly

Authors: Carl Friedrich Bolz, Darya Kurilova, and Laurence Tratt

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

Abstract
While database management systems (DBMSs) are highly optimized, interactions across the boundary between the programming language (PL) and the DBMS are costly, even for in-process embedded DBMSs. In this paper, we show that programs that interact with the popular embedded DBMS SQLite can be significantly optimized -- by a factor of 3.4 in our benchmarks -- by inlining across the PL / DBMS boundary. We achieved this speed-up by replacing parts of SQLite's C interpreter with RPython code and composing the resulting meta-tracing virtual machine (VM) -- called SQPyte -- with the PyPy VM. SQPyte does not compromise stand-alone SQL performance and is 2.2% faster than SQLite on the widely used TPC-H benchmark suite.
Cite as

Carl Friedrich Bolz, Darya Kurilova, and Laurence Tratt. Making an Embedded DBMS JIT-friendly. In 30th European Conference on Object-Oriented Programming (ECOOP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 56, pp. 4:1-4:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{bolz_et_al:LIPIcs.ECOOP.2016.4,
  author =	{Bolz, Carl Friedrich and Kurilova, Darya and Tratt, Laurence},
  title =	{{Making an Embedded DBMS JIT-friendly}},
  booktitle =	{30th European Conference on Object-Oriented Programming (ECOOP 2016)},
  pages =	{4:1--4:24},
  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.2016.4},
  URN =		{urn:nbn:de:0030-drops-60986},
  doi =		{10.4230/LIPIcs.ECOOP.2016.4},
  annote =	{Keywords: DBMSs, JIT, performance, tracing}
}
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}
}
Document
DOI: 10.4230/DARTS.2.1.2
Making an Embedded DBMS JIT-friendly (Artifact)

Authors: Carl Friedrich Bolz, Darya Kurilova, 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 contains: the SQPyte prototype, a JIT for executing SQLite queries; and PyPy-SQPyte, a version of the PyPy Python VM which embeds SQPyte. In addition, a benchmark suite is included, which allows performance comparison against standard SQLite and the Java embedded database H2.
Cite as

Carl Friedrich Bolz, Darya Kurilova, and Laurence Tratt. Making an Embedded DBMS JIT-friendly (Artifact). In Special Issue of the 30th European Conference on Object-Oriented Programming (ECOOP 2016). Dagstuhl Artifacts Series (DARTS), Volume 2, Issue 1, pp. 2:1-2:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{bolz_et_al:DARTS.2.1.2,
  author =	{Bolz, Carl Friedrich and Kurilova, Darya and Tratt, Laurence},
  title =	{{Making an Embedded DBMS JIT-friendly (Artifact)}},
  pages =	{2:1--2:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2016},
  volume =	{2},
  number =	{1},
  editor =	{Bolz, Carl Friedrich and Kurilova, Darya 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.2.1.2},
  URN =		{urn:nbn:de:0030-drops-61233},
  doi =		{10.4230/DARTS.2.1.2},
  annote =	{Keywords: DBMSs, JIT, performance, tracing}
}
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