Session

DescriptionThe rapid shift toward GPU-accelerated architectures in current and upcoming exascale supercomputers has exposed a critical gap in distributed dense numerical linear algebra software, particularly within the European HPC ecosystem. The deployment of JUPITER, Europe’s first exascale booster, underscores the absence of a mature NLA library capable of fully exploiting such massively accelerated systems, creating a significant barrier for both scientific and industrial applications that rely on large-scale linear algebra. To address this challenge, an international group of experts launched the ExaNLA initiative in 2025 as an open, community-driven effort to define and guide the development of a next-generation NLA library. ExaNLA brings together specialists in numerical analysis, high-performance computing, and software engineering to shape a shared technical vision, define core functionalities, and promote best practices for scalability, interoperability, resilience, and performance portability. Its activities are organized through focused working groups that explore algorithms, programming models, benchmarking strategies, and community support. This minisymposium serves as a platform to present current progress from these working groups and to discuss the future roadmap of the ExaNLA library through invited talks and a panel discussion, fostering broad engagement and collective planning for the initiative’s next steps.