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Documents authored by Vollmer, Michael

Document
DOI: 10.4230/LIPIcs.ECOOP.2024.38
Optimizing Layout of Recursive Datatypes with Marmoset: Or, Algorithms + Data Layouts = Efficient Programs

Authors: Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, and Milind Kulkarni

Published in: LIPIcs, Volume 313, 38th European Conference on Object-Oriented Programming (ECOOP 2024)

Abstract
While programmers know that memory representation of data structures can have significant effects on performance, compiler support to optimize the layout of those structures is an under-explored field. Prior work has optimized the layout of individual, non-recursive structures without considering how collections of those objects in linked or recursive data structures are laid out. This work introduces Marmoset, a compiler that optimizes the layouts of algebraic datatypes, with a special focus on producing highly optimized, packed data layouts where recursive structures can be traversed with minimal pointer chasing. Marmoset performs an analysis of how a recursive ADT is used across functions to choose a global layout that promotes simple, strided access for that ADT in memory. It does so by building and solving a constraint system to minimize an abstract cost model, yielding a predicted efficient layout for the ADT. Marmoset then builds on top of Gibbon, a prior compiler for packed, mostly-serial representations, to synthesize optimized ADTs. We show experimentally that Marmoset is able to choose optimal layouts across a series of microbenchmarks and case studies, outperforming both Gibbon’s baseline approach, as well as MLton, a Standard ML compiler that uses traditional pointer-heavy representations.
Cite as

Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, and Milind Kulkarni. Optimizing Layout of Recursive Datatypes with Marmoset: Or, Algorithms + Data Layouts = Efficient Programs. In 38th European Conference on Object-Oriented Programming (ECOOP 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 313, pp. 38:1-38:28, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{singhal_et_al:LIPIcs.ECOOP.2024.38,
  author =	{Singhal, Vidush and Koparkar, Chaitanya and Zullo, Joseph and Pelenitsyn, Artem and Vollmer, Michael and Rainey, Mike and Newton, Ryan and Kulkarni, Milind},
  title =	{{Optimizing Layout of Recursive Datatypes with Marmoset: Or, Algorithms + Data Layouts = Efficient Programs}},
  booktitle =	{38th European Conference on Object-Oriented Programming (ECOOP 2024)},
  pages =	{38:1--38:28},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-341-6},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{313},
  editor =	{Aldrich, Jonathan 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.2024.38},
  URN =		{urn:nbn:de:0030-drops-208875},
  doi =		{10.4230/LIPIcs.ECOOP.2024.38},
  annote =	{Keywords: Tree traversals, Compilers, Data layout optimization, Dense data layout}
}
Document
Artifact
DOI: 10.4230/DARTS.10.2.21
Optimizing Layout of Recursive Datatypes with Marmoset (Artifact)

Authors: Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, and Milind Kulkarni

Published in: DARTS, Volume 10, Issue 2, Special Issue of the 38th European Conference on Object-Oriented Programming (ECOOP 2024)

Abstract
While programmers know that memory representation of data structures can have significant effects on performance, compiler support to optimize the layout of those structures is an under-explored field. Prior work has optimized the layout of individual, non-recursive structures without considering how collections of those objects in linked or recursive data structures are laid out. This work introduces Marmoset, a compiler that optimizes the layouts of algebraic datatypes, with a special focus on producing highly optimized, packed data layouts where recursive structures can be traversed with minimal pointer chasing. Marmoset performs an analysis of how a recursive ADT is used across functions to choose a global layout that promotes simple, strided access for that ADT in memory. It does so by building and solving a constraint system to minimize an abstract cost model, yielding a predicted efficient layout for the ADT. Marmoset then builds on top of Gibbon, a prior compiler for packed, mostly-serial representations, to synthesize optimized ADTs. We show experimentally that Marmoset is able to choose optimal layouts across a series of microbenchmarks and case studies, outperforming both Gibbon’s baseline approach, as well as MLton, a Standard ML compiler that uses traditional pointer-heavy representations.
Cite as

Vidush Singhal, Chaitanya Koparkar, Joseph Zullo, Artem Pelenitsyn, Michael Vollmer, Mike Rainey, Ryan Newton, and Milind Kulkarni. Optimizing Layout of Recursive Datatypes with Marmoset (Artifact). In Special Issue of the 38th European Conference on Object-Oriented Programming (ECOOP 2024). Dagstuhl Artifacts Series (DARTS), Volume 10, Issue 2, pp. 21:1-21:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{singhal_et_al:DARTS.10.2.21,
  author =	{Singhal, Vidush and Koparkar, Chaitanya and Zullo, Joseph and Pelenitsyn, Artem and Vollmer, Michael and Rainey, Mike and Newton, Ryan and Kulkarni, Milind},
  title =	{{Optimizing Layout of Recursive Datatypes with Marmoset (Artifact)}},
  pages =	{21:1--21:10},
  journal =	{Dagstuhl Artifacts Series},
  ISBN =	{978-3-95977-342-3},
  ISSN =	{2509-8195},
  year =	{2024},
  volume =	{10},
  number =	{2},
  editor =	{Singhal, Vidush and Koparkar, Chaitanya and Zullo, Joseph and Pelenitsyn, Artem and Vollmer, Michael and Rainey, Mike and Newton, Ryan and Kulkarni, Milind},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.10.2.21},
  URN =		{urn:nbn:de:0030-drops-209199},
  doi =		{10.4230/DARTS.10.2.21},
  annote =	{Keywords: Tree traversals, Compilers, Data layout optimization, Dense data layout}
}
Document
Experience Paper
DOI: 10.4230/LIPIcs.ECOOP.2023.39
Rust for Morello: Always-On Memory Safety, Even in Unsafe Code (Experience Paper)

Authors: Sarah Harris, Simon Cooksey, Michael Vollmer, and Mark Batty

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

Abstract
Memory safety issues are a serious concern in systems programming. Rust is a systems language that provides memory safety through a combination of a static checks embodied in the type system and ad hoc dynamic checks inserted where this analysis becomes impractical. The Morello prototype architecture from ARM uses capabilities, fat pointers augmented with object bounds information, to catch failures of memory safety. This paper presents a compiler from Rust to the Morello architecture, together with a comparison of the performance of Rust’s runtime safety checks and the hardware-supported checks of Morello. The cost of Morello’s always-on memory safety guarantees is 39% in our 19 benchmark suites from the Rust crates repository (comprising 870 total benchmarks). For this cost, Morello’s capabilities ensure that even unsafe Rust code benefits from memory safety guarantees.
Cite as

Sarah Harris, Simon Cooksey, Michael Vollmer, and Mark Batty. Rust for Morello: Always-On Memory Safety, Even in Unsafe Code (Experience Paper). In 37th European Conference on Object-Oriented Programming (ECOOP 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 263, pp. 39:1-39:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{harris_et_al:LIPIcs.ECOOP.2023.39,
  author =	{Harris, Sarah and Cooksey, Simon and Vollmer, Michael and Batty, Mark},
  title =	{{Rust for Morello: Always-On Memory Safety, Even in Unsafe Code}},
  booktitle =	{37th European Conference on Object-Oriented Programming (ECOOP 2023)},
  pages =	{39:1--39:27},
  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.2023.39},
  URN =		{urn:nbn:de:0030-drops-182322},
  doi =		{10.4230/LIPIcs.ECOOP.2023.39},
  annote =	{Keywords: Compilers, Rust, Memory Safety, CHERI}
}
Document
Artifact
DOI: 10.4230/DARTS.9.2.25
Rust for Morello: Always-On Memory Safety, Even in Unsafe Code (Artifact)

Authors: Sarah Harris, Simon Cooksey, Michael Vollmer, and Mark Batty

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

Abstract
Cite as

Sarah Harris, Simon Cooksey, Michael Vollmer, and Mark Batty. Rust for Morello: Always-On Memory Safety, Even in Unsafe Code (Artifact). In Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023). Dagstuhl Artifacts Series (DARTS), Volume 9, Issue 2, pp. 25:1-25:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{harris_et_al:DARTS.9.2.25,
  author =	{Harris, Sarah and Cooksey, Simon and Vollmer, Michael and Batty, Mark},
  title =	{{Rust for Morello: Always-On Memory Safety, Even in Unsafe Code (Artifact)}},
  pages =	{25:1--25:2},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2023},
  volume =	{9},
  number =	{2},
  editor =	{Harris, Sarah and Cooksey, Simon and Vollmer, Michael and Batty, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.9.2.25},
  URN =		{urn:nbn:de:0030-drops-182650},
  doi =		{10.4230/DARTS.9.2.25},
  annote =	{Keywords: Compilers, Rust, Memory Safety, CHERI}
}
Document
DOI: 10.4230/LIPIcs.ESA.2019.80
Simultaneous Representation of Proper and Unit Interval Graphs

Authors: Ignaz Rutter, Darren Strash, Peter Stumpf, and Michael Vollmer

Published in: LIPIcs, Volume 144, 27th Annual European Symposium on Algorithms (ESA 2019)

Abstract
In a confluence of combinatorics and geometry, simultaneous representations provide a way to realize combinatorial objects that share common structure. A standard case in the study of simultaneous representations is the sunflower case where all objects share the same common structure. While the recognition problem for general simultaneous interval graphs - the simultaneous version of arguably one of the most well-studied graph classes - is NP-complete, the complexity of the sunflower case for three or more simultaneous interval graphs is currently open. In this work we settle this question for proper interval graphs. We give an algorithm to recognize simultaneous proper interval graphs in linear time in the sunflower case where we allow any number of simultaneous graphs. Simultaneous unit interval graphs are much more "rigid" and therefore have less freedom in their representation. We show they can be recognized in time O(|V|*|E|) for any number of simultaneous graphs in the sunflower case where G=(V,E) is the union of the simultaneous graphs. We further show that both recognition problems are in general NP-complete if the number of simultaneous graphs is not fixed. The restriction to the sunflower case is in this sense necessary.
Cite as

Ignaz Rutter, Darren Strash, Peter Stumpf, and Michael Vollmer. Simultaneous Representation of Proper and Unit Interval Graphs. In 27th Annual European Symposium on Algorithms (ESA 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 144, pp. 80:1-80:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{rutter_et_al:LIPIcs.ESA.2019.80,
  author =	{Rutter, Ignaz and Strash, Darren and Stumpf, Peter and Vollmer, Michael},
  title =	{{Simultaneous Representation of Proper and Unit Interval Graphs}},
  booktitle =	{27th Annual European Symposium on Algorithms (ESA 2019)},
  pages =	{80:1--80:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-124-5},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{144},
  editor =	{Bender, Michael A. and Svensson, Ola and Herman, Grzegorz},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2019.80},
  URN =		{urn:nbn:de:0030-drops-112013},
  doi =		{10.4230/LIPIcs.ESA.2019.80},
  annote =	{Keywords: Intersection Graphs, Recognition Algorithm, Proper/Unit Interval Graphs, Simultaneous Representations}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2017.26
Compiling Tree Transforms to Operate on Packed Representations

Authors: Michael Vollmer, Sarah Spall, Buddhika Chamith, Laith Sakka, Chaitanya Koparkar, Milind Kulkarni, Sam Tobin-Hochstadt, and Ryan R. Newton

Published in: LIPIcs, Volume 74, 31st European Conference on Object-Oriented Programming (ECOOP 2017)

Abstract
When written idiomatically in most programming languages, programs that traverse and construct trees operate over pointer-based data structures, using one heap object per-leaf and per-node. This representation is efficient for random access and shape-changing modifications, but for traversals, such as compiler passes, that process most or all of a tree in bulk, it can be inefficient. In this work we instead compile tree traversals to operate on pointer-free pre-order serializations of trees. On modern architectures such programs often run significantly faster than their pointer-based counterparts, and additionally are directly suited to storage and transmission without requiring marshaling. We present a prototype compiler, Gibbon, that compiles a small first-order, purely functional language sufficient for tree traversals. The compiler transforms this language into intermediate representation with explicit pointers into input and output buffers for packed data. The key compiler technologies include an effect system for capturing traversal behavior, combined with an algorithm to insert destination cursors. We evaluate our compiler on tree transformations over a real-world dataset of source-code syntax trees. For traversals touching the whole tree, such as maps and folds, packed data allows speedups of over 2x compared to a highly-optimized pointer-based baseline.
Cite as

Michael Vollmer, Sarah Spall, Buddhika Chamith, Laith Sakka, Chaitanya Koparkar, Milind Kulkarni, Sam Tobin-Hochstadt, and Ryan R. Newton. Compiling Tree Transforms to Operate on Packed Representations. In 31st European Conference on Object-Oriented Programming (ECOOP 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 74, pp. 26:1-26:29, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)

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@InProceedings{vollmer_et_al:LIPIcs.ECOOP.2017.26,
  author =	{Vollmer, Michael and Spall, Sarah and Chamith, Buddhika and Sakka, Laith and Koparkar, Chaitanya and Kulkarni, Milind and Tobin-Hochstadt, Sam and Newton, Ryan R.},
  title =	{{Compiling Tree Transforms to Operate on Packed Representations}},
  booktitle =	{31st European Conference on Object-Oriented Programming (ECOOP 2017)},
  pages =	{26:1--26:29},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-035-4},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{74},
  editor =	{M\"{u}ller, Peter},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECOOP.2017.26},
  URN =		{urn:nbn:de:0030-drops-72737},
  doi =		{10.4230/LIPIcs.ECOOP.2017.26},
  annote =	{Keywords: compiler optimization, program transformation, tree traversal}
}
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