WebTensor: Towards high-performance raster data analysis in the browser
| dc.contributor.author | Naumann, Lucas Fabian | |
| dc.contributor.editor | König-Ries, Birgitta | |
| dc.contributor.editor | Scherzinger, Stefanie | |
| dc.contributor.editor | Lehner, Wolfgang | |
| dc.contributor.editor | Vossen, Gottfried | |
| dc.date.accessioned | 2023-02-23T14:00:21Z | |
| dc.date.available | 2023-02-23T14:00:21Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | 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. | en |
| dc.identifier.doi | 10.18420/BTW2023-75 | |
| dc.identifier.isbn | 978-3-88579-725-8 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/40385 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BTW 2023 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-331 | |
| dc.subject | WebAssembly | |
| dc.subject | Raster Data | |
| dc.subject | Tensor Processing | |
| dc.subject | Visual Analytics | |
| dc.title | WebTensor: Towards high-performance raster data analysis in the browser | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1089 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1083 | |
| gi.conference.date | 06.-10. März 2023 | |
| gi.conference.location | Dresden, Germany |
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