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BEGIN:VEVENT
DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 002
DTSTART;TZID=Europe/Stockholm:20260629T163000
DTEND;TZID=Europe/Stockholm:20260629T170000
UID:submissions.pasc-conference.org_PASC26_sess114_msa194@linklings.com
SUMMARY:Putting Accelerated NLA to the Test: A Benchmarking Study of State
 -of-the-Art Libraries
DESCRIPTION:Davor Davidović (Rudjer Boskovic Institute)\n\nAs high-perform
 ance computing enters the exascale era, numerical linear algebra (NLA) rem
 ains a critical performance bottleneck for scientific applications in mate
 rials science, quantum chemistry, and climate modelling. These fields requ
 ire NLA solvers capable of efficiently performing operations such as matri
 x multiplication, Hermitian eigenproblems, and various factorizations on h
 eterogeneous, GPU-accelerated architectures. However, performance and scal
 ability are strongly influenced by specific matrix properties, required pr
 ecisions, storage formats, and the underlying hardware abstraction.\nThis 
 talk presents the findings of a comprehensive survey on NLA requirements w
 ithin modern simulation codes, alongside a benchmarking study of state-of-
 the-art libraries – ChASE, ELPA, SLEPc, and DLA-Future – conducted on the 
 JURECA supercomputer. Our analysis evaluates core NLA kernels across the d
 iverse problem types identified by the ExaNLA survey, focusing on how thes
 e solvers scale on distributed, accelerated systems. The study assesses an
 d compares library performance under standardised conditions to identify o
 ptimal approaches for specific problem classes.\nThe results provide a qua
 ntitative roadmap for the ExaNLA experience, highlighting the strengths an
 d limitations of the current ecosystem. These insights will help shape the
  future ExaNLA library, ensuring scalability on next-generation exascale m
 achines by synthesising problem-driven solutions with the expertise of exi
 sting state-of-the-art NLA frameworks.\n\nDomain: Chemistry and Materials,
  Climate, Weather, and Earth Sciences, Computational Methods and Applied M
 athematics\n\nSession Chair: Edoardo Di Napoli (Forschungszentrum Jülich)\
 n\n
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