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Minisymposium Presentation
Performance and Portability for Sustainable Simulations at Extreme Scales**
Presenter
Florina Ciorba is an Associate Professor and head of the High Performance Computing (HPC) Lab at the University of Basel, Switzerland, which she established in 2015. She earned her Ph.D. from the National Technical University of Athens in 2008, followed by postdoctoral positions at Mississippi State University, USA, and the Technical University of Dresden, Germany.Prof. Ciorba’s research encompasses methods, tools, and techniques for enhancing performance, portability, resilience, reproducibility, security, sustainability, and autonomous operation of systems and HPC and AI/ML applications. She has authored nearly a hundred peer-reviewed publications and received best paper awards at several conferences. Her recent work focuses on autotuning with scheduling and load balancing libraries, energy-efficient cosmological simulations at extreme scales, and developing autonomy loops for observability and system performance.Prof. Ciorba is a founding board member and principal investigator of the University of Basel node for the SKACH project, part of the Swiss Consortium of the SKAO, and a founding member of the IDEAS4HPC Association—a Swiss chapter of Women in HPC. She holds senior and life memberships with ACM, and memberships with IEEE, IEEE Computer Society, HiPEAC, and DISCOVER-US. She contributes to various forums, committees and boards, including the Energy Efficiency HPC Working Group, SPEC High Performance Group, SciCORE User Board at University of Basel, and DCSR Scientific Advisory Board at University of Lausanne. Over the past decade, Prof. Ciorba has held numerous leadership roles in parallel computing and HPC conferences and workshops. More information is available at her lab’s website http://hpc.dmi.unibas.ch/.
Description
High Performance Computing (HPC) is increasingly defined by heterogeneity, with diverse hardware architectures and growing core counts per device. Optimizing performance and ensuring code portability are not just technical challenges but also essential components of sustainable computing. Efficient resource utilization and energy-aware optimizations are critical for reducing the environmental impact of large-scale simulations while maintaining adaptability across rapidly evolving HPC systems.In this talk, we will explore three strategies for achieving performance and portability in modern heterogeneous HPC environments and evaluate their sustainability. We will share insights from optimizing legacy applications, developing new simulation frameworks, and integrating data analysis pipelines that exploit multiple levels of parallelism—both within and across nodes. Our discussion will highlight the trade-offs between performance and portability while considering energy efficiency and long-term sustainability in computational science.We will conclude by examining future computing trends and the increasing complexity of next-generation HPC systems, emphasizing strategies to balance computational power, energy efficiency, and scientific productivity in an era of growing heterogeneity.