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DTSTAMP:20260421T090512Z
LOCATION:Bldg. 6 - Room 002
DTSTART;TZID=Europe/Stockholm:20260629T160000
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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:The rapid shift toward GPU-accelerated architectures in curren
 t and upcoming exascale supercomputers has exposed a critical gap in distr
 ibuted dense numerical linear algebra software, particularly within the Eu
 ropean HPC ecosystem. The deployment of JUPITER, Europe’s first exascale b
 ooster, underscores the absence of a mature NLA library capable of fully e
 xploiting such massively accelerated systems, creating a significant barri
 er for both scientific and industrial applications that rely on large-scal
 e linear algebra. To address this challenge, an international group of exp
 erts launched the ExaNLA initiative in 2025 as an open, community-driven e
 ffort to define and guide the development of a next-generation NLA library
 . ExaNLA brings together specialists in numerical analysis, high-performan
 ce 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, prog
 ramming models, benchmarking strategies, and community support. This minis
 ymposium serves as a platform to present current progress from these worki
 ng groups and to discuss the future roadmap of the ExaNLA library through 
 invited talks and a panel discussion, fostering broad engagement and colle
 ctive planning for the initiative’s next steps.\n\nDense Numerical Linear 
 Algebra (NLA) Under the Microscope: What Scientific Applications Really Ne
 ed\n\nDense numerical linear algebra (NLA) is a fundamental building block
  in many scientific applications, supporting simulations, data analysis, a
 nd modeling workflows across diverse domains. While significant advances h
 ave been made in algorithms and high-performance implementations, the evol
 ution of N...\n\n\nXinzhe Wu (Jülich Supercomputing Centre)\n-------------
 --------\nThe Challenge of a universal interface for high-performance and 
 multiplatforms low-level libraries\n\nHigh-performance numerical libraries
  remain a cornerstone of scientific computing, yet their integration acros
 s heterogeneous architectures, programming languages, and evolving softwar
 e ecosystems remains challenging. Exascale systems require libraries that 
 can operate efficiently across CPUs, GPUs,...\n\n\nLuigi Genovese (CEA Gre
 noble)\n---------------------\nPutting Accelerated NLA to the Test: A Benc
 hmarking Study of State-of-the-Art Libraries\n\nAs high-performance comput
 ing enters the exascale era, numerical linear algebra (NLA) remains a crit
 ical performance bottleneck for scientific applications in materials scien
 ce, quantum chemistry, and climate modelling. These fields require NLA sol
 vers capable of efficiently performing operations su...\n\n\nDavor Davidov
 ić (Rudjer Boskovic Institute)\n---------------------\nPanel discussion on
  "Needs and challenges for the development of a distributed and accelerate
 d dense Numerical Linear Algebra library"\n\nThis session will be an open 
 discussion on current developments and future directions in the developmen
 t of an exascale-ready distributed and accelerated Numerical Linear Algebr
 a library. The focus will be on the existing  challenges and the current a
 nd future efforts made by the ExaNLA committee to...\n\n\nXinzhe Wu (Forsc
 hungszentrum Jülich), Davor Davidovic (Rudger Boskovic Institute), Raffael
 e Solca (ETH Zurich / CSCS), Fabio Affinito (CINECA), and Hartwig Antz (Te
 chnical University of Munich)\n\nDomain: Chemistry and Materials, Climate,
  Weather, and Earth Sciences, Computational Methods and Applied Mathematic
 s\n\nSession Chair: Edoardo Di Napoli (Forschungszentrum Jülich)
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