9 Search Results for "Kulkarni, Milind"

Document
DOI: 10.4230/LIPIcs.OPODIS.2025.33
Resolving Conflicts with Grace: Dynamically Concurrent Universality

Authors: Petr Kuznetsov and Nathan Josia Schrodt

Published in: LIPIcs, Volume 361, 29th International Conference on Principles of Distributed Systems (OPODIS 2025)

Abstract
Synchronization is the major obstacle to scalability in distributed computing. Concurrent operations on the shared data engage in synchronization when they encounter a conflict, i.e., their effects depend on the order in which they are applied. Ideally, one would like to detect conflicts in a dynamic manner, i.e., adjusting to the current system state. Indeed, it is very common that two concurrent operations conflict only in some rarely occurring states. In this paper, we define the notion of dynamic concurrency: an operation employs strong synchronization primitives only if it has to arbitrate with concurrent operations, given the current system state. We then present a dynamically concurrent universal construction.
Cite as

Petr Kuznetsov and Nathan Josia Schrodt. Resolving Conflicts with Grace: Dynamically Concurrent Universality. In 29th International Conference on Principles of Distributed Systems (OPODIS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 361, pp. 33:1-33:29, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{kuznetsov_et_al:LIPIcs.OPODIS.2025.33,
  author =	{Kuznetsov, Petr and Schrodt, Nathan Josia},
  title =	{{Resolving Conflicts with Grace: Dynamically Concurrent Universality}},
  booktitle =	{29th International Conference on Principles of Distributed Systems (OPODIS 2025)},
  pages =	{33:1--33:29},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-409-3},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{361},
  editor =	{Arusoaie, Andrei and Onica, Emanuel and Spear, Michael and Tucci-Piergiovanni, Sara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2025.33},
  URN =		{urn:nbn:de:0030-drops-252068},
  doi =		{10.4230/LIPIcs.OPODIS.2025.33},
  annote =	{Keywords: Universal Construction, Consensus, Dynamic Concurrency}
}
Document
Invited Talk
DOI: 10.4230/LIPIcs.MFCS.2025.5
On Synthesis of Distributed Monitors (Invited Talk)

Authors: Anca Muscholl

Published in: LIPIcs, Volume 345, 50th International Symposium on Mathematical Foundations of Computer Science (MFCS 2025)

Abstract
This talk addresses the synthesis problem of distributed monitors for concurrency properties.
Cite as

Anca Muscholl. On Synthesis of Distributed Monitors (Invited Talk). In 50th International Symposium on Mathematical Foundations of Computer Science (MFCS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 345, pp. 5:1-5:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{muscholl:LIPIcs.MFCS.2025.5,
  author =	{Muscholl, Anca},
  title =	{{On Synthesis of Distributed Monitors}},
  booktitle =	{50th International Symposium on Mathematical Foundations of Computer Science (MFCS 2025)},
  pages =	{5:1--5:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-388-1},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{345},
  editor =	{Gawrychowski, Pawe{\l} and Mazowiecki, Filip and Skrzypczak, Micha{\l}},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2025.5},
  URN =		{urn:nbn:de:0030-drops-241126},
  doi =		{10.4230/LIPIcs.MFCS.2025.5},
  annote =	{Keywords: Distributed synthesis, monitoring}
}
Document
DOI: 10.4230/LIPIcs.CONCUR.2025.5
Characterizations of Fragments of Temporal Logic over Mazurkiewicz Traces

Authors: Bharat Adsul, Paul Gastin, and Shantanu Kulkarni

Published in: LIPIcs, Volume 348, 36th International Conference on Concurrency Theory (CONCUR 2025)

Abstract
We study fragments of temporal logics over Mazurkiewicz traces which are well known and established partial-order models of concurrent behaviours. We focus on concurrent versions of "strict past" and "strict future" modalities. Over words, the corresponding fragments have been shown to coincide with natural algebraic conditions on the recognizing monoids. We provide non-trivial generalizations of these classical results to traces. We exploit the local nature of the temporal modalities and obtain modular translations of specifications into asynchronous automata. More specifically, we provide novel characterizations of these fragments via local cascade products of a very simple two-state asynchronous automaton operating on a single process.
Cite as

Bharat Adsul, Paul Gastin, and Shantanu Kulkarni. Characterizations of Fragments of Temporal Logic over Mazurkiewicz Traces. In 36th International Conference on Concurrency Theory (CONCUR 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 348, pp. 5:1-5:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{adsul_et_al:LIPIcs.CONCUR.2025.5,
  author =	{Adsul, Bharat and Gastin, Paul and Kulkarni, Shantanu},
  title =	{{Characterizations of Fragments of Temporal Logic over Mazurkiewicz Traces}},
  booktitle =	{36th International Conference on Concurrency Theory (CONCUR 2025)},
  pages =	{5:1--5:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-389-8},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{348},
  editor =	{Bouyer, Patricia and van de Pol, Jaco},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CONCUR.2025.5},
  URN =		{urn:nbn:de:0030-drops-239551},
  doi =		{10.4230/LIPIcs.CONCUR.2025.5},
  annote =	{Keywords: Mazurkiewicz traces, temporal logics, asynchronous automata, cascade product, Green’s relations, algebraic automata theory}
}
Document
Experience Paper
DOI: 10.4230/LIPIcs.ECOOP.2025.38
Type-Safe and Portable Support for Packed Data (Experience Paper)

Authors: Arthur Jamet and Michael Vollmer

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

Abstract
When components of a system exchange data, they need to serialise the data so that it can be sent over the network. Then, the recipient has to deserialise the data in order to be able to process it. These steps take time and have an impact on the overall system’s performance. A solution to this is to use packed data, which has a unified representation between the memory and the network, removing the need for any marshalling steps. Additionally, using this data representation can improve the program’s performance thanks to the data locality enabled by the compact representation of the data in memory. Unfortunately, no mainstream programming languages support packed data, whether it’s out-of-the-box or through a compiler extension. We present packed-data, a Haskell library that allows for type safe building and reading of packed data in a functional style. The library does not rely on compiler modifications, making it portable, and leverages meta-programming to allow programmers to pack their own data types effortlessly. We evaluate the usability and performance of the library, and conclude that it allows traversing packed data up to 60% faster than unpacked data. We also reflect on how to enhance the performance of library-based support for packed data. Our implementation approach is general and can easily be used with any programming languages that support higher-kinded types.
Cite as

Arthur Jamet and Michael Vollmer. Type-Safe and Portable Support for Packed Data (Experience Paper). In 39th European Conference on Object-Oriented Programming (ECOOP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 333, pp. 38:1-38:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{jamet_et_al:LIPIcs.ECOOP.2025.38,
  author =	{Jamet, Arthur and Vollmer, Michael},
  title =	{{Type-Safe and Portable Support for Packed Data}},
  booktitle =	{39th European Conference on Object-Oriented Programming (ECOOP 2025)},
  pages =	{38:1--38:19},
  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.2025.38},
  URN =		{urn:nbn:de:0030-drops-233301},
  doi =		{10.4230/LIPIcs.ECOOP.2025.38},
  annote =	{Keywords: program optimisation, data structures, data layout, packed data}
}
Document
DOI: 10.4230/LIPIcs.ECOOP.2025.21
GSOHC: Global Synchronization Optimization in Heterogeneous Computing

Authors: Soumik Kumar Basu and Jyothi Vedurada

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

Abstract
The use of heterogeneous systems has become widespread and popular in the past decade with more than one type of processor, such as CPUs, GPUs (Graphics Processing Units), and FPGAs (Field Programmable Gate Arrays) etc. A wide range of applications use both CPU and GPU to leverage the benefits of their unique features and strengths. Therefore, collaborative computation between CPU and GPU is essential to achieve high program performance. However, poorly placed global synchronization barriers and synchronous memory transfers are the main bottlenecks to enhanced program performance, preventing CPU and GPU computations from overlapping. Based on this observation, we propose a new optimization technique called hetero-sync motion that can relocate such barrier instructions to new locations, resulting in improved performance in CPU-GPU heterogeneous programs. Further, we propose GSOHC, a compiler analysis and optimization framework that automatically finds opportunities for hetero-sync motion in the input program and then performs code transformation to apply the optimization. Our static analysis is a context-sensitive, flow-sensitive inter-procedural data-flow analysis with three phases to identify the optimization opportunities precisely. We have implemented GSOHC using LLVM/Clang infrastructure. On A4000, P100 and A100 GPUs, our optimization achieves speedups of up to 1.8x, 1.9x and 1.9x over the baseline, respectively.
Cite as

Soumik Kumar Basu and Jyothi Vedurada. GSOHC: Global Synchronization Optimization in Heterogeneous Computing. In 39th European Conference on Object-Oriented Programming (ECOOP 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 333, pp. 21:1-21:30, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@InProceedings{kumarbasu_et_al:LIPIcs.ECOOP.2025.21,
  author =	{Kumar Basu, Soumik and Vedurada, Jyothi},
  title =	{{GSOHC: Global Synchronization Optimization in Heterogeneous Computing}},
  booktitle =	{39th European Conference on Object-Oriented Programming (ECOOP 2025)},
  pages =	{21:1--21:30},
  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.2025.21},
  URN =		{urn:nbn:de:0030-drops-232949},
  doi =		{10.4230/LIPIcs.ECOOP.2025.21},
  annote =	{Keywords: Static Analysis, Synchronization, CPU-GPU, Heterogeneous Computing, Parallelization}
}
Document
DOI: 10.4230/LITES.10.1.1
GDBMiner: Mining Precise Input Grammars on (Almost) Any System

Authors: Max Eisele, Johannes Hägele, Christopher Huth, and Andreas Zeller

Published in: LITES, Volume 10, Issue 1 (2025). Leibniz Transactions on Embedded Systems, Volume 10, Issue 1

Abstract
If one knows the input language of the system to be tested, one can generate inputs in a very efficient manner. Grammar-based fuzzers, for instance, produce inputs that are syntactically valid by construction. They are thus much more likely to be accepted by the program under test and to reach code beyond the input parser. Grammar-based fuzzers, however, need a grammar in the first place. Grammar miners are set to extract such grammars from programs. However, current grammar mining tools place huge demands on the source code they are applied on, or are too imprecise, both preventing adoption in industrial practice. We present GDBMiner, a tool to mine input grammars for binaries and executables in any (compiled) programming language, on any operating system, using any processor architecture, even without source code. GDBMiner leverages the GNU debugger (GDB) to step through the program and determine which code locations access which input bytes, generalizing bytes accessed by the same location into grammar elements. GDBMiner is slow, but versatile - and precise: In our evaluation, GDBMiner produces grammars as precise as the (more demanding) Cmimid tool, while producing more precise grammars than the (less demanding) Arvada black-box approach. GDBMiner can be applied on any recursive descent parser that can be debugged via GDB and is available as open source.
Cite as

Max Eisele, Johannes Hägele, Christopher Huth, and Andreas Zeller. GDBMiner: Mining Precise Input Grammars on (Almost) Any System. In LITES, Volume 10, Issue 1 (2025). Leibniz Transactions on Embedded Systems, Volume 10, Issue 1, pp. 1:1-1:26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

Copy BibTex To Clipboard

@Article{eisele_et_al:LITES.10.1.1,
  author =	{Eisele, Max and H\"{a}gele, Johannes and Huth, Christopher and Zeller, Andreas},
  title =	{{GDBMiner: Mining Precise Input Grammars on (Almost) Any System}},
  journal =	{Leibniz Transactions on Embedded Systems},
  pages =	{1:1--1:26},
  ISSN =	{2199-2002},
  year =	{2025},
  volume =	{10},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LITES.10.1.1},
  URN =		{urn:nbn:de:0030-drops-230134},
  doi =		{10.4230/LITES.10.1.1},
  annote =	{Keywords: program analysis, testing, input grammar, fuzzing, grammar mining}
}
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)

Copy BibTex To Clipboard

@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)

Copy BibTex To Clipboard

@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
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)

Copy BibTex To Clipboard

@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}
}
  • Refine by Type
  • 9 Document/PDF
  • 6 Document/HTML

  • Refine by Publication Year
  • 1 2026
  • 5 2025
  • 2 2024
  • 1 2017

  • Refine by Author
  • 4 Vollmer, Michael
  • 3 Koparkar, Chaitanya
  • 3 Kulkarni, Milind
  • 2 Newton, Ryan
  • 2 Pelenitsyn, Artem
  • Show More...

  • Refine by Series/Journal
  • 7 LIPIcs
  • 1 DARTS
  • 1 LITES

  • Refine by Classification
  • 3 Information systems → Data layout
  • 3 Software and its engineering → Compilers
  • 2 Software and its engineering → Software performance
  • 2 Theory of computation → Distributed computing models
  • 1 Computer systems organization → Embedded software
  • Show More...

  • Refine by Keyword
  • 2 Compilers
  • 2 Data layout optimization
  • 2 Dense data layout
  • 2 Tree traversals
  • 1 CPU-GPU
  • Show More...

Any Issues?
X

Feedback on the Current Page

CAPTCHA

Thanks for your feedback!

Feedback submitted to Dagstuhl Publishing

Could not send message

Please try again later or send an E-mail
© 2023-2026 Schloss Dagstuhl – LZI GmbH Schloss Dagstuhl – LZI GmbH About DROPS Imprint Privacy Contact