Webinar: From theory to practice: HPC performance analysis with Score-P, Scalasca & CUBE
This webinar introduces practical performance analysis using tools such as Score-P, Scalasca, and CUBE. Through a demonstration, participants will learn how to profile and analyse application performance, identify bottlenecks, and interpret results effectively. The session is aimed at beginners who want to move from basic concepts to practical performance analysis in HPC.
This webinar was held June 9, 2026 and it’s the second part of a Webinar Series on Profiling.
About the speakers:
Ilya Zhukov is a senior HPC consultant at the Jülich Supercomputing Centre, with over eight years’ experience supporting users of large-scale HPC systems. He has been closely involved in the POP CoE, SiVeGCS and EPICURE projects at JSC, providing hands-on support to researchers across diverse scientific domains. His primary focus is on helping users exploit HPC systems efficiently and improve the performance and scalability of their applications.
Michael Knobloch obtained his diploma in Mathematics from TU Dresden in 2008. He joined Jülich Supercomputing Center at Forschungszentrum Jülich in 2009 where he works as a HPC performance engineer ever since. His research interests include, but are not limited to, performance and energy consumption analysis of large-scale HPC systems and applications and the development of corresponding tools. He is an active member of the MPI forum and regularly gives courses about parallel programming and performance analysis.
About the moderator:
Cláudia Brito is currently an Assistant Researcher at INESC TEC (and part of the DSR HASLab group) and an Invited Assistant Professor at the University of Minho. Her current research focus is on AI for Systems and Systems for AI. In detail, her research interests have been shifting towards the following topics: AI for systems optimisations and tuning, Storage optimisations for AI workloads, Energy consumption optimisation for data-intensive workloads, Application-specific AI for healthcare.
