David Leopoldseder

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 32

Top Topics

Machine Learning

Programming Language

Machine Learning Models

Top Venues

SPLASH (Companion Volume)

Publications

Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck
Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks. Art Sci. Eng. Program. 7 (1) (2023)
Andrej Pecimúth, David Leopoldseder, Petr Tuma
Diagnosing Compiler Performance by Comparing Optimization Decisions. MPLR (2023)
Andrej Pecimúth, David Leopoldseder, Petr Tuma
Diagnosing Compiler Performance by Comparing Optimization Decisions (Poster Abstract). MPLR (2023)
Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
Control Flow Duplication for Columnar Arrays in a Dynamic Compiler. CoRR (2023)
Lubomír Bulej, Vojtech Horký, Michele Tucci, Petr Tuma, François Farquet, David Leopoldseder, Aleksandar Prokopec
GraalVM Compiler Benchmark Results Dataset (Data Artifact). ICPE (Companion) (2023)
Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
Control Flow Duplication for Columnar Arrays in a Dynamic Compiler. Art Sci. Eng. Program. 7 (3) (2023)
Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck
Dynamic Taint Analysis with Label-Defined Semantics. MPLR (2022)
Jacob Kreindl, Daniele Bonetta, David Leopoldseder, Lukas Stadler, Hanspeter Mössenböck
Polyglot, Label-Defined Dynamic Taint Analysis in TruffleTaint. MPLR (2022)
Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck
Machine-Learning-Based Self-Optimizing Compiler Heuristics✱. MPLR (2022)
Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck
Compilation Forking: A Fast and Flexible Way of Generating Data for Compiler-Internal Machine Learning Tasks. CoRR (2022)
Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
Automatically Transforming Arrays to Columnar Storage at Run Time✱. MPLR (2022)
Raphael Mosaner, Gergö Barany, David Leopoldseder, Hanspeter Mössenböck
Improving Vectorization Heuristics in a Dynamic Compiler with Machine Learning Models. VMIL@SPLASH (2022)
Lukas Makor, Sebastian Kloibhofer, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck
Automatic Array Transformation to Columnar Storage at Run Time. MPLR (2022)
Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck
Low-overhead multi-language dynamic taint analysis on managed runtimes through speculative optimization. MPLR (2021)
Raphael Mosaner, David Leopoldseder, Lukas Stadler, Hanspeter Mössenböck
Using machine learning to predict the code size impact of duplication heuristics in a dynamic compiler. MPLR (2021)
Florian Latifi, David Leopoldseder, Christian Wimmer, Hanspeter Mössenböck
CompGen: generation of fast JIT compilers in a multi-language VM. DLS (2021)
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
Renaissance: Benchmarking Suite for Parallel Applications on the JVM. SE (2020)
Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck
Multi-language dynamic taint analysis in a polyglot virtual machine. MPLR (2020)
Sebastian Kloibhofer, Thomas Pointhuber, Maximilian Heisinger, Hanspeter Mössenböck, Lukas Stadler, David Leopoldseder
SymJEx: symbolic execution on the GraalVM. MPLR (2020)
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity. CoRR (2019)
Raphael Mosaner, David Leopoldseder, Manuel Rigger, Roland Schatz, Hanspeter Mössenböck
Supporting On-Stack Replacement in Unstructured Languages by Loop Reconstruction and Extraction. CoRR (2019)
Raphael Mosaner, David Leopoldseder, Manuel Rigger, Roland Schatz, Hanspeter Mössenböck
Supporting on-stack replacement in unstructured languages by loop reconstruction and extraction. MPLR (2019)
Aleksandar Prokopec, Gilles Duboscq, David Leopoldseder, Thomas Würthinger
An Optimization-Driven Incremental Inline Substitution Algorithm for Just-in-Time Compilers. CGO (2019)
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
Renaissance: a modern benchmark suite for parallel applications on the JVM. SPLASH (Companion Volume) (2019)
Aleksandar Prokopec, Andrea Rosà, David Leopoldseder, Gilles Duboscq, Petr Tuma, Martin Studener, Lubomír Bulej, Yudi Zheng, Alex Villazón, Doug Simon, Thomas Würthinger, Walter Binder
Renaissance: benchmarking suite for parallel applications on the JVM. PLDI (2019)
David Leopoldseder, Roland Schatz, Lukas Stadler, Manuel Rigger, Thomas Würthinger, Hanspeter Mössenböck
Fast-path loop unrolling of non-counted loops to enable subsequent compiler optimizations. ManLang (2018)
Josef Eisl, David Leopoldseder, Hanspeter Mössenböck
Parallel trace register allocation. ManLang (2018)
David Leopoldseder, Lukas Stadler, Manuel Rigger, Thomas Würthinger, Hanspeter Mössenböck
A cost model for a graph-based intermediate-representation in a dynamic compiler. VMIL@SPLASH (2018)
David Leopoldseder, Lukas Stadler, Thomas Würthinger, Josef Eisl, Doug Simon, Hanspeter Mössenböck
Dominance-based duplication simulation (DBDS): code duplication to enable compiler optimizations. CGO (2018)
Manuel Rigger, Stefan Marr, Stephen Kell, David Leopoldseder, Hanspeter Mössenböck
An Analysis of x86-64 Inline Assembly in C Programs. VEE (2018)
David Leopoldseder
Simulation-based code duplication for enhancing compiler optimizations. SPLASH (Companion Volume) (2017)
Aleksandar Prokopec, David Leopoldseder, Gilles Duboscq, Thomas Würthinger
Making collection operations optimal with aggressive JIT compilation. SCALA@SPLASH (2017)
David Leopoldseder, Lukas Stadler, Christian Wimmer, Hanspeter Mössenböck
Java-to-JavaScript translation via structured control flow reconstruction of compiler IR. DLS (2015)