David Leopoldseder

41 papers A* 1A 6B 1C 14Journal 8Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A conf
Partial-Evaluation Templates: Accelerating Partial Evaluation with Pre-compiled Templates.
CGO
Florian Huemer, Aleksandar Prokopec, David Leopoldseder, Raphael Mosaner, Hanspeter Mössenböck
2025 — conf
A Pragmatic Approach to Replay Compilation (Extended Abstract).
Programming
Andrej Pecimuth, David Leopoldseder, Petr Tuma
2025 J jnl
Automated Profile-Guided Replacement of Data Structures to Reduce Memory Allocation.
CoRR
Lukas Makor, Sebastian Kloibhofer, Peter Hofer, David Leopoldseder, Hanspeter Mössenböck
2025 J jnl
Automated Profile-Guided Replacement of Data Structures to Reduce Memory Allocation.
Art Sci. Eng. Program.
Lukas Makor, Sebastian Kloibhofer, Peter Hofer, David Leopoldseder, Hanspeter Mössenböck
2025 A conf
Profile-Guided Field Externalization in an Ahead-Of-Time Compiler.
ECOOP
Sebastian Kloibhofer, Lukas Makor, Peter Hofer, David Leopoldseder, Hanspeter Mössenböck
2025 A conf
Reusing Highly Optimized IR in Dynamic Compilation.
ECOOP
Andrej Pecimuth, David Leopoldseder, Petr Tuma
2024 — conf
An Analysis of Compiled Code Reusability in Dynamic Compilation.
VMIL@SPLASH
Andrej Pecimuth, David Leopoldseder, Petr Tuma
2024 A conf
Taking a Closer Look: An Outlier-Driven Approach to Compilation-Time Optimization.
ECOOP
Florian Huemer, David Leopoldseder, Aleksandar Prokopec, Raphael Mosaner, Hanspeter Mössenböck
2023 J jnl
Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks.
Art Sci. Eng. Program.
Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck
2023 J jnl
Control Flow Duplication for Columnar Arrays in a Dynamic Compiler.
CoRR
Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
2023 J jnl
Control Flow Duplication for Columnar Arrays in a Dynamic Compiler.
Art Sci. Eng. Program.
Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
2023 C conf
Diagnosing Compiler Performance by Comparing Optimization Decisions (Poster Abstract).
MPLR
Andrej Pecimuth, David Leopoldseder, Petr Tuma
2023 C conf
Diagnosing Compiler Performance by Comparing Optimization Decisions.
MPLR
Andrej Pecimuth, David Leopoldseder, Petr Tuma
2023 — conf
GraalVM Compiler Benchmark Results Dataset (Data Artifact).
ICPE (Companion)
Lubomír Bulej, Vojtech Horký, Michele Tucci, Petr Tuma, François Farquet, David Leopoldseder, Aleksandar Prokopec
2022 C conf
Automatic Array Transformation to Columnar Storage at Run Time.
MPLR
Lukas Makor, Sebastian Kloibhofer, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
2022 C conf
Automatically Transforming Arrays to Columnar Storage at Run Time✱.
MPLR
Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
2022 J jnl
Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks.
CoRR
Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck
2022 C conf
Dynamic Taint Analysis with Label-Defined Semantics.
MPLR
Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck
2022 — conf
Improving Vectorization Heuristics in a Dynamic Compiler with Machine Learning Models.
VMIL@SPLASH
Raphael Mosaner, Gergö Barany, David Leopoldseder, Hanspeter Mössenböck
2022 C conf
Machine-Learning-Based Self-Optimizing Compiler Heuristics✱.
MPLR
Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck
2022 C conf
Polyglot, Label-Defined Dynamic Taint Analysis in TruffleTaint.
MPLR
Jacob Kreindl, Daniele Bonetta, David Leopoldseder, Lukas Stadler, Hanspeter Mössenböck
2021 C conf
CompGen: generation of fast JIT compilers in a multi-language VM.
DLS
Florian Latifi, David Leopoldseder, Christian Wimmer, Hanspeter Mössenböck
2021 C conf
Low-overhead multi-language dynamic taint analysis on managed runtimes through speculative optimization.
MPLR
Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck
2021 C conf
Using machine learning to predict the code size impact of duplication heuristics in a dynamic compiler.
MPLR
Raphael Mosaner, David Leopoldseder, Lukas Stadler, Hanspeter Mössenböck
2020 C conf
Multi-language dynamic taint analysis in a polyglot virtual machine.
MPLR
Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck
2020 — conf
Renaissance: Benchmarking Suite for Parallel Applications on the JVM.
SE
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
2020 C conf
SymJEx: symbolic execution on the GraalVM.
MPLR
Sebastian Kloibhofer, Thomas Pointhuber, Maximilian Heisinger, Hanspeter Mössenböck, Lukas Stadler, David Leopoldseder
2019 A conf
An Optimization-Driven Incremental Inline Substitution Algorithm for Just-in-Time Compilers.
CGO
Aleksandar Prokopec, Gilles Duboscq, David Leopoldseder, Thomas Würthinger
2019 J jnl
On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity.
CoRR
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
2019 — conf
Renaissance: a modern benchmark suite for parallel applications on the JVM.
SPLASH (Companion Volume)
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
2019 A* conf
Renaissance: benchmarking suite for parallel applications on the JVM.
PLDI
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
2019 J jnl
Supporting On-Stack Replacement in Unstructured Languages by Loop Reconstruction and Extraction.
CoRR
Raphael Mosaner, David Leopoldseder, Manuel Rigger, Roland Schatz, Hanspeter Mössenböck
2019 C conf
Supporting on-stack replacement in unstructured languages by loop reconstruction and extraction.
MPLR
Raphael Mosaner, David Leopoldseder, Manuel Rigger, Roland Schatz, Hanspeter Mössenböck
2018 — conf
A cost model for a graph-based intermediate-representation in a dynamic compiler.
VMIL@SPLASH
David Leopoldseder, Lukas Stadler, Manuel Rigger, Thomas Würthinger, Hanspeter Mössenböck
2018 B conf
An Analysis of x86-64 Inline Assembly in C Programs.
VEE
Manuel Rigger, Stefan Marr, Stephen Kell, David Leopoldseder, Hanspeter Mössenböck
2018 A conf
Dominance-based duplication simulation (DBDS): code duplication to enable compiler optimizations.
CGO
David Leopoldseder, Lukas Stadler, Thomas Würthinger, Josef Eisl, Doug Simon, Hanspeter Mössenböck
2018 — conf
Fast-path loop unrolling of non-counted loops to enable subsequent compiler optimizations.
ManLang
David Leopoldseder, Roland Schatz, Lukas Stadler, Manuel Rigger, Thomas Würthinger, Hanspeter Mössenböck
2018 — conf
Parallel trace register allocation.
ManLang
Josef Eisl, David Leopoldseder, Hanspeter Mössenböck
2017 — conf
Making collection operations optimal with aggressive JIT compilation.
SCALA@SPLASH
Aleksandar Prokopec, David Leopoldseder, Gilles Duboscq, Thomas Würthinger
2017 — conf
Simulation-based code duplication for enhancing compiler optimizations.
SPLASH (Companion Volume)
David Leopoldseder
2015 C conf
Java-to-JavaScript translation via structured control flow reconstruction of compiler IR.
DLS
David Leopoldseder, Lukas Stadler, Christian Wimmer, Hanspeter Mössenböck