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TZID:Europe/Paris
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DTSTART:20260329T030000
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DTSTART:20261025T030000
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SUMMARY:When hardware decides your biology: What we learned from running P
 CA on an HPC cluster - Christof Seiler
DTSTART;TZID=Europe/Paris:20261125T112500
DTEND;TZID=Europe/Paris:20261125T115500
DTSTAMP:20260930T112609Z
UID:pretalx-compute-paris-2026-UYPSHX@pretalx.com
DESCRIPTION:Principal Component Analysis (PCA) is a standard preprocessing
  step in genomics data analysis. For large datasets\, we run analyses on H
 igh-Performance Computing (HPC) clusters and use approximate PCA. In this 
 talk\, we will show that different CPU architectures produce different res
 ults. We will show code to reproduce the problem and recommend a practical
  workaround.
LOCATION:Room 108
URL:https://pretalx.com/compute-paris-2026/talk/UYPSHX/
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