Alexander Breuer
Professor at Friedrich Schiller University Jena
Jena, Thuringia, Germany
Summary
👤
Senior🎓
Top SchoolAlexander Breuer is a professor and computational scientist with 14 years of experience building high-performance, end-to-end software pipelines that span hardware-aware optimization, modeling and simulation, data analytics, and verification. He leads the Scalable Data- and Compute-intensive Analyses lab at Friedrich Schiller University Jena and brings a track record of award-winning work—including an ACM/IEEE-CS George Michael Memorial HPC Fellowship and PRACE ISC recognition—for large-scale earthquake simulation and other compute-intensive applications. Alexander combines deep systems-level expertise (notably contributions to libxsmm extending aarch64/SVE support and sparse kernels) with rigorous academic grounding from a summa cum laude doctorate at Technical University of Munich. He is adept at turning low-level architectural insights into robust, transferable production workflows that scale from edge architectures to supercomputers.
14 years of coding experience
5 years of employment as a software developer
Dr. rer. nat., Computer Science, summa cum laude, Dr. rer. nat., Computer Science, summa cum laude at Technical University Munich
Github Skills (16)
c1710
vector10
avx10
simd10
arm10
assembly10
vector-math10
sve10
c1110
jit10
assemble10
assembler10
optimization10
blas9
machine-learning9
Programming languages (6)
Github contributions (5)
libxsmm/libxsmm
Dec 2017 - Jul 2021
Library for specialized dense and sparse matrix operations, and deep learning primitives.
Role in this project:
Back-end Developer & System Architect
Back-end Developer & System ArchitectContributions:1 review, 18 commits, 21 PRs in 3 years 7 months
Contributions summary:Alexander contributed significantly to the low-level aspects of the library, specifically focusing on aarch64 architecture support and optimization. They implemented new aarch64 instructions, including SVE support, demonstrating a deep understanding of the hardware architecture. The user's work extended the library's capabilities to support sparse kernels and packed gemm operations, highlighting a focus on performance and system-level programming. Furthermore, they adjusted address calculations and resolved bug in SVE related kernel generation.
bfloat16avxsimdlapackavx512
HPGeoC/awp-odc-os
Apr 2016 - Nov 2017
The Anelastic Wave Propagation software (awp-odc-os) simulates wave propagation in a 3D viscoelastic or elastic solid.
Contributions:72 commits, 20 PRs, 69 pushes in 1 year 7 months
wave-propagationpropagationelasticwaveodc
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