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VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//USMVVE
BEGIN:VEVENT
SUMMARY:ArrayAllocators.jl: Arrays via calloc\, NUMA\, and aligned memory 
 - Mark Kittisopikul\, Ph.D.
DTSTART:20220728T165000Z
DTEND:20220728T170000Z
DTSTAMP:20260813T003402Z
UID:pretalx-juliacon-2022-SE8MEL@pretalx.com
DESCRIPTION:ArrayAllocators.jl uses the standard array interface to allow 
 faster `zeros` with `calloc`\, allocation on specific NUMA nodes on multi-
 processor systems as well as aligned memory. The allocators are given as a
 n argument to `Array{T}` in place of `undef`. Overall\, this allows Julia 
 to match the allocation performance of popular numerical libraries such as
  NumPy\, which uses some of these techniques.\nIn this talk\, we will also
  explore some of the unexpected properties of these allocation methods.
LOCATION:Purple
URL:https://pretalx.com/juliacon-2022/talk/SE8MEL/
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