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PRODID:-//pretalx//pretalx.com//juliacon-2022//talk//X3UUFD
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UID:pretalx-juliacon-2022-X3UUFD@pretalx.com
DTSTART:20220727T130000Z
DTEND:20220727T133000Z
DESCRIPTION:Enzyme is a new LLVM-based differentiation framework capable of
  creating fast derivatives in a variety of languages. In this talk we will
  showcase improvements in Enzyme.jl\, the Julia-language bindings for Enzy
 me that enable us to differentiate through parallelism (Julia tasks\, MPI.
 jl\, etc)\, mutable memory\, JIT-constructs\, all while maintaining perfor
 mance. Moreover we will also showcase Enzyme's new forward mode capabiliti
 es in addition to its existing reverse-mode features.
DTSTAMP:20260514T135412Z
LOCATION:Purple
SUMMARY:Fast Forward and Reverse-Mode Differentiation via Enzyme.jl - Valen
 tin Churavy\, William Moses\, Ludger Paehler\, Tim Gymnich
URL:https://pretalx.com/juliacon-2022/talk/X3UUFD/
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