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UID:pretalx-foss4g-2025-TSVGYJ@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251119T154500
DTEND;TZID=NZST:20251119T155000
DESCRIPTION:Zarr is a cloud-native format\, and now it can be GPU-native to
 o! We address one of the main bottlenecks of geospatial machine learning\,
  which is on the data loading stage. Let's see how we can read and decompr
 ess data from Zarr directly into GPU memory!
DTSTAMP:20260516T073306Z
LOCATION:WG403
SUMMARY:GPU-native Zarr: Optimizing data throughput for large-scale geospat
 ial machine learning workflows - Wei Ji Leong
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/TSVGYJ/
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UID:pretalx-foss4g-2025-MRPVGL@talks.staging.osgeo.org
DTSTART;TZID=NZST:20251120T163000
DTEND;TZID=NZST:20251120T165500
DESCRIPTION:Reading a Cloud-optimized GeoTIFF involves several steps\, from
  fetching compressed bytes over a network/disk\, decompressing those bytes
 \, to finally parsing of TIFF tag metadata. Can we speed up the decoding u
 sing asynchronous methods\, or even GPU-accelerated libraries? Let's see h
 ow we can program this in Rust!
DTSTAMP:20260516T073306Z
LOCATION:WG308 TE IRINGA
SUMMARY:Accelerating GeoTIFF readers with Rust - Wei Ji Leong
URL:https://talks.staging.osgeo.org/foss4g-2025/talk/MRPVGL/
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