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SUMMARY:HPC sparse linear algebra in Julia with PartitionedArrays.jl - Fra
 ncesc Verdugo\, ALBERTO FRANCISCO MARTIN HUERTAS
DTSTART:20220728T163000Z
DTEND:20220728T164000Z
DTSTAMP:20260819T031238Z
UID:pretalx-juliacon-2022-ZZ3HGF@pretalx.com
DESCRIPTION:PartitionedArrays is a distributed sparse linear algebra engin
 e that allows Julia users to easily prototype and deploy large computation
 s on distributed-memory HPC platforms. The long-term goal is to provide a 
 Julia alternative to the parallel vectors and sparse matrices available in
  well-known distributed algebra packages such as PETSc. Using PartitionedA
 rrays\, application libraries have shown excellent strong and weak scaling
  results up to tends of thousands of CPU cores.
LOCATION:Red
URL:https://pretalx.com/juliacon-2022/talk/ZZ3HGF/
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