NHR PerfLab Seminar: Energy monitoring and optimization made easy and accessible — powered by EAR (October 7, online)
Speaker: Julita Corbalán Gonzalez, CTO and co-founder of EAR, associate professor at the Polytechnic University of Catalonia
Title: Energy monitoring and optimization made easy and accessible — powered by EAR
Slides: On request
Abstract:
EAR is a powerful yet easy-to-use system-level software for energy monitoring and optimization. Designed to be vendor-independent, EAR runs seamlessly across any architecture, offering unmatched flexibility. It adds semantic meaning to raw metrics, reducing the need for deep expertise or domain-specific knowledge to achieve optimal performance. EAR simplifies complex energy data, making advanced energy management accessible to everyone. Its modular design allows it to operate as a full system tool—managing all aspects of energy usage—or as a lightweight user-level library. This flexibility makes EAR the ideal solution for diverse data center environments. Whether you’re optimizing a single server or managing an entire infrastructure, EAR adapts to your needs. With EAR, energy efficiency becomes intuitive, scalable, and architecture-agnostic. The presentation will introduce main EAR features, architecture, and some relevant use cases to illustrate how EAR provides practical solutions to users, administrators, and data center managers to convert your data center into an energy-efficient data center.
Short bio:
Julita Corbalán is the CTO and co-founder of EAR, where she leads the team developing the company’s system software for energy management in HPC and AI data centers. She is also a researcher and associate professor at the Polytechnic University of Catalonia (UPC), holding a Ph.D. in Computer Science. Julita has advised several Ph.D. students and participated in numerous European research projects focused on energy efficiency in data centers, including programs under ESPRIT, IST, and Horizon Europe 2020. With her expertise, she helps maximize hardware performance under power and energy constraints while reducing electricity costs for HPC and AI data centers.
For a list of past and upcoming NHR PerfLab seminar events, please see: https://hpc.fau.de/research/nhr-perflab-seminar-series/