APPEL - AGILA ProPErty and Dependency Description Language. - Christoph Grimm 001; Frank Wawrzik; Alexander Louis-Ferdinand Jung; Konstantin Lübeck; Sebastian Post; Johannes Koch; Oliver Bringmann 001 (MBMV, 2021)

Work-in-Progress: Ultra-fast yet Accurate Performance Prediction for Deep Neural Network Accelerators. - Konstantin Lübeck; Alexander Louis-Ferdinand Jung; Felix Wedlich; Oliver Bringmann 001 (CASES, 2022)

It's All About PR - Smart Benchmarking AI Accelerators Using Performance Representatives. - Alexander Louis-Ferdinand Jung; Jannik Steinmetz; Jonathan Gietz; Konstantin Lübeck; Oliver Bringmann 001 (SAMOS, 2024)

Using the Abstract Computer Architecture Description Language to Model AI Hardware Accelerators. - Mika Markus Müller; Alexander Richard Manfred Borst; Konstantin Lübeck; Alexander Louis-Ferdinand Jung; Oliver Bringmann 001 (CoRR, 2024)

Automatic Generation of Fast and Accurate Performance Models for Deep Neural Network Accelerators. - Konstantin Lübeck; Alexander Louis-Ferdinand Jung; Felix Wedlich; Mika Markus Müller; Federico Nicolás Peccia; Felix Thömmes; Jannik Steinmetz; Valentin Biermaier; Adrian Frischknecht; Paul Palomero Bernardo; Oliver Bringmann 001 (ACM Trans. Embed. Comput. Syst., 2025)

FlexiSAGA: A Flexible Systolic Array GEMM Accelerator for Sparse and Dense Processing. - Mika Markus Müller; Konstantin Lübeck; Alexander Louis-Ferdinand Jung; Jannik Steinmetz; Oliver Bringmann 001 (CoRR, 2025)