Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing
The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the same time lossy compression for scientific data became an important topic for the scientific communities. The teams involved in the JLESC played and are still playing an important role in developing the research, techniques...
| Autores: | , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/412665 |
| Acceso en línea: | https://hdl.handle.net/2117/412665 https://dx.doi.org/10.1016/j.future.2024.05.022 |
| Access Level: | acceso embargado |
| Palabra clave: | Data compression (Computer science) Lossy compression Scientific data Compression for AIGPU acceleration I/O scheduling Dades -- Compressió (Informàtica) Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors |
| Sumario: | The Joint Laboratory on Extreme-Scale Computing (JLESC) was initiated at the same time lossy compression for scientific data became an important topic for the scientific communities. The teams involved in the JLESC played and are still playing an important role in developing the research, techniques, methods, and technologies making lossy compression for scientific data a key tool for scientists and engineers. In this paper, we present the evolution of lossy compression for scientific data from 2015, describing the situation before the JLESC started, the evolution of this discipline in the past 8 years (until 2023) through the prism of the JLESC collaborations on this topic and some of the remaining open research questions. |
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