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UID:pretalx-juliacon2024-V8VGK9@pretalx.com
DTSTART;TZID=CET:20240710T163000
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DESCRIPTION:We present `KSVD.jl`\, an extremely fast implementation of the 
 K-SVD algorithm\, including extensive single-core optimizations\, shared-s
 tate multithreading\, pipelined GPU offloading\, and an optional distribut
 ed executor. With this implementation\, we are able to outperform existing
  numpy-based implementations by ~100x and scale to datasets with millions 
 of samples.
DTSTAMP:20260314T022537Z
LOCATION:Function (4.1)
SUMMARY:KSVD.jl: A case study in performance optimization. - Romeo Valentin
URL:https://pretalx.com/juliacon2024/talk/V8VGK9/
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