Alexander Brauckmann

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Graph Representations

Machine Learning

Reinforcement Learning

Top Venues

Publications

Alexander Brauckmann, Elizabeth Polgreen, Tobias Grosser, Michael F. P. O'Boyle
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis. CoRR (2023)
Jackson Woodruff, Thomas Koehler, Alexander Brauckmann, Chris Cummins, Sam Ainsworth, Michael F. P. O'Boyle
Rewriting History: Repurposing Domain-Specific CGRAs. CoRR (2023)
Alexander Brauckmann, Elizabeth Polgreen, Tobias Grosser, Michael F. P. O'Boyle
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR Using Program Synthesis. PACT (2023)
Jordi Armengol-Estapé, Jackson Woodruff, Alexander Brauckmann, José Wesley de Souza Magalhães, Michael F. P. O'Boyle
ExeBench: an ML-scale dataset of executable C functions. MAPS@PLDI (2022)
Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón
A Reinforcement Learning Environment for Polyhedral Optimizations. CoRR (2021)
Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón
PolyGym: Polyhedral Optimizations as an Environment for Reinforcement Learning. PACT (2021)
Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón
ComPy-Learn: A toolbox for exploring machine learning representations for compilers. FDL (2020)
Alexander Brauckmann, Andrés Goens, Sebastian Ertel, Jerónimo Castrillón
Compiler-based graph representations for deep learning models of code. CC (2020)
Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón
A case study on machine learning for synthesizing benchmarks. MAPL@PLDI (2019)