Anna Fuchs

Anna Fuchs is a researcher at the Department of Computer Science, Faculty of Mathematics, Informatics and Natural Sciences at University of Hamburg, working at DKRZ (German Climate Computing Centre). She began her doctoral research in June 2016 focusing on parallel I/O and compression within distributed parallel filesystems. Currently, she serves as contact person for various courses including "High Performance Computing" and supervises Master's and Bachelor's theses.

Her research interests center around High Performance Computing with specific focus on:

• Parallel I/O systems
• Data compression techniques for distributed filesystems
• Lustre and ZFS filesystem optimization
• Machine learning applications for data reduction
• Performance analysis of HPC systems

Anna Fuchs' publication record demonstrates a consistent focus on data management and optimization in high-performance computing environments. Her work spans from theoretical aspects of data compression to practical implementations in filesystems like Lustre. Recent publications show an increasing integration of machine learning techniques to improve data-aware compression algorithms, particularly evident in her 2022 paper "Data-Aware Compression for HPC using Machine Learning" which appeared in multiple venues including ACM SIGOPS and CHEOPS2022.

She has supervised numerous Master's and Bachelor's theses, guiding students through research on topics related to parallel systems, filesystem optimization, and data compression. Her teaching portfolio includes:

• Lecture "High Performance Computing"
• Seminar "Supercomputers: Research and Innovation"
• Project "Parallel Systems" for both regular and advanced students
• Student Cluster Competition mentorship