Research Topic:

Improving Energy Efficiency in Scientific Workloads on AI Centered HPC Hardware through Reduced Precision

Supervisors:

Robert Schoene, PhD (TUD), Prof. Jerenimo Castrillon (TUD), Prof. Wolfgang Nagel (TUD)

Thesis Abstract:

This PhD explores how reduced and mixed precision can be used to make scientific applications more energy efficient on modern HPC systems. The work focuses on understanding when lower precision is actually useful, how it affects accuracy and performance, and how well current AI-oriented hardware supports these approaches. The goal is to identify practical ways of reducing energy consumption without unnecessarily sacrificing the quality of scientific results.

Publications:

•Gülçin Gedik, Robert Schoene, and Roman Iakymchuk. “Mixed-Precision For Energy Efficient Computations”. In: SC25@WHPC Proceedings (Jan. 2025).

Conference Presentations:

•ISC Poster Presentation 2025

•NHR Conference Poster Presentations 2025 and 2026

•ICPE Conference Paper Presentation

•NHR Conference Invited Talk 2026