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DTSTAMP:20260421T090514Z
LOCATION:Bldg. 6 - Room 002
DTSTART;TZID=Europe/Stockholm:20260629T160000
DTEND;TZID=Europe/Stockholm:20260629T163000
UID:submissions.pasc-conference.org_PASC26_sess114_msa145@linklings.com
SUMMARY:Dense Numerical Linear Algebra (NLA) Under the Microscope: What Sc
 ientific Applications Really Need
DESCRIPTION:Xinzhe Wu (Jülich Supercomputing Centre)\n\nDense numerical li
 near algebra (NLA) is a fundamental building block in many scientific appl
 ications, supporting simulations, data analysis, and modeling workflows ac
 ross diverse domains. While significant advances have been made in algorit
 hms and high-performance implementations, the evolution of NLA libraries i
 s often driven by theoretical developments and hardware trends rather than
  systematic feedback from application developers.\n\nIn this talk, we pres
 ent insights from an application-oriented survey conducted within ExaNLA, 
 aimed at understanding how dense NLA functionality is used in real scienti
 fic codes. The survey collected input from developers of a broad range of 
 applications regarding the dense linear algebra routines they rely on, how
  these routines are integrated into their workflows, and which limitations
  they encounter when using existing libraries.\n\nThe results reveal commo
 n patterns across domains, including a strong reliance on a relatively sma
 ll set of dense operations, as well as emerging needs related to scalabili
 ty, flexibility, and heterogeneous architectures. These findings highlight
  gaps between current NLA capabilities and the evolving requirements of sc
 ientific software, providing an application-driven perspective for future 
 NLA developments.\n\nDomain: Chemistry and Materials, Climate, Weather, an
 d Earth Sciences, Computational Methods and Applied Mathematics\n\nSession
  Chair: Edoardo Di Napoli (Forschungszentrum Jülich)\n\n
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