Marcel Aach

Postdoc, Jülich Supercomputing Centre

Joined

February 2022

Names

Marcel Aach (Preferred)

Emails

****@fz-juelich.de (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Postdoc

Jülich Supercomputing Centre (fz-juelich.de)

2025 – Present

PhD student

University of Iceland (hi.is)

2021 – 2025

Advisors, Relations & Conflicts

Family

Tilman Aach

Present

PhD Advisor

Andreas Lintermann

Present

Expertise

high-performance computing

Present

large scale machine learning

Present

hyperparameter optimization

Present

Publications

Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems
Marcel Aach, Rakesh Sarma, Helmut Neukirchen, Morris Riedel, Andreas Lintermann
- Future Gener. Comput. Syst. 2026
- Readers: Everyone
Optimizing Edge AI Models on HPC Systems with the Edge in the Loop
Marcel Aach, Cyril Blanc, Andreas Lintermann, Kurt De Grave
- ISC 2025
- Readers: Everyone
Distributed hybrid quantum-classical performance prediction for hyperparameter optimization
Eric Wulff, Juan Pablo García Amboage, Marcel Aach, Thorsteinn Eli Gislason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Rakesh Sarma, Maria Girone, Andreas Lintermann
- Quantum Mach. Intell. 2024
- Readers: Everyone
AI4HPC: Library to Train AI Models on HPC Systems using CFD Datasets
Eray Inanc, Rakesh Sarma, Marcel Aach, Rocco Sedona, Andreas Lintermann
- WANT@NeurIPS 2023 Poster
- Readers: Everyone
Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods
Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel, Andreas Lintermann
- Published: 16 May 2023, Last Modified: 05 Oct 2023
- AutoML 2023 MainTrack
- Readers: Everyone
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision
Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann
- SC Workshops 2023
- Readers: Everyone

Marcel Aach

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Resource-adaptive successive doubling for hyperparameter optimization with large datasets on high-performance computing systems

Optimizing Edge AI Models on HPC Systems with the Edge in the Loop

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization

AI4HPC: Library to Train AI Models on HPC Systems using CFD Datasets

Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision

Co-Authors