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UID:submissions.pasc-conference.org_PASC26_sess114@linklings.com
SUMMARY:MS2A - Fostering an Exascale-Ready Distributed and Accelerated Den
 se Numerical Linear Algebra Library: The ExaNLA Experience
DESCRIPTION:Access the recording\n\nOrganizer(s): Edoardo Di Napoli (Forsc
 hungszentrum Jülich)\n\nThe rapid shift toward GPU-accelerated architectur
 es in current and upcoming exascale supercomputers has exposed a critical 
 gap in distributed dense numerical linear algebra software, particularly w
 ithin the European HPC ecosystem. The deployment of JUPITER, Europe’s firs
 t exascale booster, underscores the absence of a mature NLA library capabl
 e of fully exploiting such massively accelerated systems, creating a signi
 ficant barrier for both scientific and industrial applications that rely o
 n large-scale linear algebra. To address this challenge, an international 
 group of experts launched the ExaNLA initiative in 2025 as an open, commun
 ity-driven effort to define and guide the development of a next-generation
  NLA library. ExaNLA brings together specialists in numerical analysis, hi
 gh-performance computing, and software engineering to shape a shared techn
 ical vision, define core functionalities, and promote best practices for s
 calability, interoperability, resilience, and performance portability. Its
  activities are organized through focused working groups that explore algo
 rithms, 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 libr
 ary through invited talks and a panel discussion, fostering broad engageme
 nt and collective planning for the initiative’s next steps.\n\nDense Numer
 ical Linear Algebra (NLA) Under the Microscope: What Scientific Applicatio
 ns Really Need\n\nDense numerical linear algebra (NLA) is a fundamental bu
 ilding block in many scientific applications, supporting simulations, data
  analysis, and modeling workflows across diverse domains. While significan
 t advances have been made in algorithms and high-performance implementatio
 ns, the evolution of N...\n\n\nXinzhe Wu (Jülich Supercomputing Centre) an
 d Edoardo Di Napoli (Forschungszentrum Jülich)\n---------------------\nPut
 ting Accelerated NLA to the Test: A Benchmarking Study of State-of-the-Art
  Libraries\n\nAs high-performance computing enters the exascale era, numer
 ical linear algebra (NLA) remains a critical performance bottleneck for sc
 ientific applications in materials science, quantum chemistry, and climate
  modelling. These fields require NLA solvers capable of efficiently perfor
 ming operations su...\n\n\nDavor Davidović (Rudjer Boskovic Institute)\n--
 -------------------\nThe Challenge of a Universal Interface for High-Perfo
 rmance and Multiplatforms Low-Level Libraries\n\nHigh-performance numerica
 l libraries remain a cornerstone of scientific computing, yet their integr
 ation across heterogeneous architectures, programming languages, and evolv
 ing software ecosystems remains challenging. Exascale systems require libr
 aries that can operate efficiently across CPUs, GPUs,...\n\n\nLuigi Genove
 se (CEA Grenoble)\n---------------------\nPanel Discussion on Needs and Ch
 allenges for the Development of a Distributed and Accelerated Dense Numeri
 cal Linear Algebra Library\n\nThis session will be an open discussion on c
 urrent developments and future directions in the development of an exascal
 e-ready distributed and accelerated Numerical Linear Algebra library. The 
 focus will be on the existing  challenges and the current and future effor
 ts made by the ExaNLA committee to...\n\n\nXinzhe Wu (Forschungszentrum Jü
 lich), Davor Davidovic (Rudger Boskovic Institute), Raffaele Solca (ETH Zu
 rich / CSCS), Fabio Affinito (CINECA), and Hartwig Antz (Technical Univers
 ity of Munich)\n\nDomain: Chemistry and Materials, Climate, Weather, and E
 arth Sciences, Computational Methods and Applied Mathematics\n\nSession Ch
 air: Edoardo Di Napoli (Forschungszentrum Jülich)
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