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conf.researchr.org / Alexander Brauckmann
  • CC 2025 profile
  • CGO 2025 profile
  • HPCA/CGO/PPoPP/CC 2026 profile
  • HPCA/CGO/PPoPP/CC 2027 profile
  • PLDI 2022 profile
  • PLDI 2025 profile
Alexander Brauckmann

Registered user since Wed 29 Jan 2025

Name:Alexander Brauckmann
Bio:

Alexander Brauckmann is a Software Engineer at Google and holds a PhD in Computer Science from the University of Edinburgh. His research focuses on optimizing tensor programs through program synthesis.

Country:United States
Affiliation:Google
Personal website: http://alexanderb14.github.io
GitHub: https://github.com/alexanderb14
Research interests:Program Synthesis, Tensor Compilers, Machine Learning, High-Performance Computing

Contributions

2027

CGO

  • Programme Committee in Program Committee within the Main Conference-track

2026

CGO

  • Author of Tensor Program Superoptimization through Cost-Guided Symbolic Program Synthesis within the Main Conference-track

CC

  • Author of Accelerating Sparse Algebra with Program Synthesis within the Main Conference-track

2025

PLDI

  • Author of Guided Tensor Lifting within the PLDI Research Papers-track

CGO

  • Author of Tensorize: Fast Synthesis of Tensor Programs from Legacy Code using Symbolic Tracing, Sketching and Solving within the Main Conference-track

CC

  • Author of DFA-Net: A Compiler-Specific Neural Architecture for Robust Generalization in Data Flow Analyses within the Main Conference-track

2022

MAPS

  • Author of ExeBench: An ML-scale dataset of executable C functions within the MAPS 2022-track
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