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PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//UX89E7
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UID:pretalx-juliacon-2022-ZZ3HGF@pretalx.com
DTSTART:20220728T163000Z
DTEND:20220728T164000Z
DESCRIPTION:PartitionedArrays is a distributed sparse linear algebra engine
  that allows Julia users to easily prototype and deploy large computations
  on distributed-memory HPC platforms. The long-term goal is to provide a J
 ulia alternative to the parallel vectors and sparse matrices available in 
 well-known distributed algebra packages such as PETSc. Using PartitionedAr
 rays\, application libraries have shown excellent strong and weak scaling 
 results up to tends of thousands of CPU cores.
DTSTAMP:20260316T214756Z
LOCATION:Red
SUMMARY:HPC sparse linear algebra in Julia with PartitionedArrays.jl - Fran
 cesc Verdugo\, ALBERTO FRANCISCO MARTIN HUERTAS
URL:https://pretalx.com/juliacon-2022/talk/ZZ3HGF/
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