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UID:pretalx-juliacon2024-N8UDQS@pretalx.com
DTSTART;TZID=CET:20240710T183000
DTEND;TZID=CET:20240710T190000
DESCRIPTION:Deep Learning models are often composed of a few building block
 s operating on tensors with relatively little control flow compared to mor
 e traditional code. Coil proposes a mechanism to extract the tensor subpro
 gram from the model call graph and lift its operations to the MLIR represe
 ntation. By leveraging the IREE compiler stack\, Coil is able to fuse and 
 optimize operations across Julia function calls since the whole model can 
 be observed.
DTSTAMP:20260312T202325Z
LOCATION:Else (1.3)
SUMMARY:꩜ Coil.jl - Lifting Julia array operations to MLIR. - Paul Berg
URL:https://pretalx.com/juliacon2024/talk/N8UDQS/
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