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2020 – today
- 2024
[c30]Matteo Oldani
, William Blair, Lukas Stadler, Zbynek Slajchrt, Matthias Neugschwandtner:
Binsweep: Reliably Restricting Untrusted Instruction Streams with Static Binary Analysis and Control-Flow Integrity. CCSW@CCS 2024: 53-65- 2023
- [j7]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): 3 (2023) - [j6]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) - [c29]Junyoung Kim, Kenneth A. Ross, Eric Sedlar, Lukas Stadler:
AMULET: Adaptive Matrix-Multiplication-Like Tasks. DaMoN 2023: 77-81 - [i3]Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck:
Control Flow Duplication for Columnar Arrays in a Dynamic Compiler. CoRR abs/2302.10098 (2023) - [i2]Junyoung Kim, Kenneth A. Ross, Eric Sedlar, Lukas Stadler:
AMULET: Adaptive Matrix-Multiplication-Like Tasks. CoRR abs/2305.08872 (2023) - 2022
- [c28]Lukas Makor, Sebastian Kloibhofer, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck:
Automatic Array Transformation to Columnar Storage at Run Time. MPLR 2022: 16-28 - [c27]Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck:
Dynamic Taint Analysis with Label-Defined Semantics. MPLR 2022: 64-84 - [c26]Raphael Mosaner, David Leopoldseder, Wolfgang Kisling, Lukas Stadler, Hanspeter Mössenböck:
Machine-Learning-Based Self-Optimizing Compiler Heuristics✱. MPLR 2022: 98-111 - [c25]Sebastian Kloibhofer, Lukas Makor, David Leopoldseder, Daniele Bonetta, Lukas Stadler, Hanspeter Mössenböck:
Automatically Transforming Arrays to Columnar Storage at Run Time✱. MPLR 2022: 141-143 - [c24]Jacob Kreindl, Daniele Bonetta, David Leopoldseder, Lukas Stadler, Hanspeter Mössenböck:
Polyglot, Label-Defined Dynamic Taint Analysis in TruffleTaint. MPLR 2022: 152-153 - [i1]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 abs/2206.14091 (2022) - 2021
- [j5]Wangda Zhang, Junyoung Kim, Kenneth A. Ross, Eric Sedlar, Lukas Stadler:
Adaptive Code Generation for Data-Intensive Analytics. Proc. VLDB Endow. 14(6): 929-942 (2021) - [j4]David Justo, Shaoqing Yi, Lukas Stadler, Nadia Polikarpova, Arun Kumar:
Towards A Polyglot Framework for Factorized ML. Proc. VLDB Endow. 14(12): 2918-2931 (2021) - [c23]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: 70-87 - [c22]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: 127-135 - 2020
- [c21]Jacob Kreindl, Daniele Bonetta, Lukas Stadler, David Leopoldseder, Hanspeter Mössenböck:
Multi-language dynamic taint analysis in a polyglot virtual machine. MPLR 2020: 15-29 - [c20]Sebastian Kloibhofer, Thomas Pointhuber, Maximilian Heisinger, Hanspeter Mössenböck, Lukas Stadler, David Leopoldseder:
SymJEx: symbolic execution on the GraalVM. MPLR 2020: 63-72
2010 – 2019
- 2018
- [c19]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: 126-137 - [c18]Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl:
ScootR: Scaling R Dataframes on Dataflow Systems. SoCC 2018: 288-300 - [c17]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: 26-35 - [c16]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: 2:1-2:13 - 2017
- [c15]Thomas Würthinger, Christian Wimmer, Christian Humer, Andreas Wöß, Lukas Stadler, Chris Seaton, Gilles Duboscq, Doug Simon, Matthias Grimmer:
Practical partial evaluation for high-performance dynamic language runtimes. PLDI 2017: 662-676 - [c14]Juan José Fumero, Michel Steuwer, Lukas Stadler, Christophe Dubach:
Just-In-Time GPU Compilation for Interpreted Languages with Partial Evaluation. VEE 2017: 60-73 - 2016
- [j3]Aibek Sarimbekov, Lukas Stadler, Lubomír Bulej, Andreas Sewe, Andrej Podzimek, Yudi Zheng, Walter Binder:
Workload characterization of JVM languages. Softw. Pract. Exp. 46(8): 1053-1089 (2016) - [c13]Lukas Stadler, Adam Welc, Christian Humer, Mick Jordan:
Optimizing R language execution via aggressive speculation. DLS 2016: 84-95 - 2015
- [j2]Doug Simon, Christian Wimmer, Bernhard Urban, Gilles Duboscq, Lukas Stadler, Thomas Würthinger:
Snippets: Taking the High Road to a Low Level. ACM Trans. Archit. Code Optim. 12(2): 20:20:1-20:20:25 (2015) - [c12]David Leopoldseder, Lukas Stadler, Christian Wimmer, Hanspeter Mössenböck:
Java-to-JavaScript translation via structured control flow reconstruction of compiler IR. DLS 2015: 91-103 - 2014
- [c11]Lukas Stadler, Thomas Würthinger, Hanspeter Mössenböck:
Partial Escape Analysis and Scalar Replacement for Java. CGO 2014: 165 - [c10]Matthias Grimmer, Manuel Rigger, Roland Schatz, Lukas Stadler, Hanspeter Mössenböck:
TruffleC: dynamic execution of C on a Java virtual machine. PPPJ 2014: 17-26 - 2013
- [j1]Thomas Würthinger, Christian Wimmer, Lukas Stadler:
Unrestricted and safe dynamic code evolution for Java. Sci. Comput. Program. 78(5): 481-498 (2013) - [c9]Lukas Stadler, Gilles Duboscq, Hanspeter Mössenböck, Thomas Würthinger, Doug Simon:
An experimental study of the influence of dynamic compiler optimizations on Scala performance. SCALA@ECOOP 2013: 9:1-9:8 - [c8]Gilles Duboscq, Thomas Würthinger, Lukas Stadler, Christian Wimmer, Doug Simon, Hanspeter Mössenböck:
An intermediate representation for speculative optimizations in a dynamic compiler. VMIL@SPLASH 2013: 1-10 - [c7]Thomas Würthinger, Christian Wimmer, Andreas Wöß, Lukas Stadler, Gilles Duboscq, Christian Humer, Gregor Richards, Doug Simon, Mario Wolczko:
One VM to rule them all. Onward! 2013: 187-204 - [c6]Matthias Grimmer, Manuel Rigger, Lukas Stadler, Roland Schatz, Hanspeter Mössenböck:
An efficient native function interface for Java. PPPJ 2013: 35-44 - 2012
- [c5]Thomas Würthinger, Andreas Wöß, Lukas Stadler, Gilles Duboscq, Doug Simon, Christian Wimmer:
Self-optimizing AST interpreters. DLS 2012: 73-82 - [c4]Lukas Stadler, Gilles Duboscq, Hanspeter Mössenböck, Thomas Würthinger:
Compilation queuing and graph caching for dynamic compilers. VMIL@SPLASH 2012: 49-58 - 2010
- [c3]Thomas Würthinger, Christian Wimmer, Lukas Stadler:
Dynamic code evolution for Java. PPPJ 2010: 10-19 - [c2]Lukas Stadler, Thomas Würthinger, Christian Wimmer:
Efficient coroutines for the Java platform. PPPJ 2010: 20-28
2000 – 2009
- 2009
- [c1]Lukas Stadler, Christian Wimmer, Thomas Würthinger, Hanspeter Mössenböck, John Rose:
Lazy continuations for Java virtual machines. PPPJ 2009: 143-152
Coauthor Index
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