Konferenzbeitrag
WebTensor: Towards high-performance raster data analysis in the browser
Vorschaubild nicht verfügbar
Volltext URI
Dokumententyp
Text/Conference Paper
Dateien
Zusatzinformation
Datum
2023
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
We present WebTensor, a chunked tensor implementation for WebAssembly (Wasm) compiled from C++ and designed to efficiently analyze raster data directly in the browser. WebTensor allows loading (chunked) data from various backends, manipulating it by aggregations and forwarding computed results in a zero-copy manner to JavaScript so that they can be further processed or visualized. We demonstrate the performance advantages of WebTensor by benchmarking data access and aggregation operations, and compare it against a JavaScript version of Webtensor compiled from the same C++ code.