Using Hyperspectral Imagery to Characterize Rangeland Vegetation Composition at Process-Relevant Scales

Autor: Rowan Gaffney, David J. Augustine, Sean P. Kearney, Lauren M. Porensky

Publikováno v: Remote Sensing, Vol 13, Iss 22, p 4603 (2021)

Rangelands are composed of patchy, highly dynamic herbaceous plant communities that are difficult to quantify across broad spatial extents at resolutions relevant to their characteristic spatial scales. Furthermore, differentiation of these plant com

Externí odkaz: https://doaj.org/article/f31fefcd964e4a9f972ed32b054f2862

Replicability of the EC-Earth3 Earth system model under a change in computing environment

Autor: Xavier Yepes-Arbós, Martin Ménégoz, Mario Acosta, Eleftheria Exarchou, Francisco J. Doblas-Reyes, François Massonnet

Publikováno v: Geoscientific Model Development, Vol 13, Pp 1165-1178 (2020)
Geoscientific Model Development
Geoscientific Model Development, 2020, 13 (3), pp.1165-1178. ⟨10.5194/gmd-13-1165-2020⟩
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Geoscientific Model Development, European Geosciences Union, 2020, 13 (3), pp.1165-1178. ⟨10.5194/gmd-13-1165-2020⟩
Geoscientific Model Development, Vol. 13, no.3, p. 1165-1178 (2020)

Most Earth system models (ESMs) are running under different high-performance computing (HPC) environments. This has several advantages, from allowing different groups to work with the same tool in parallel to leveraging the burden of ensemble climate

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d69e182d36c13f308c9b1176400c67
https://www.geosci-model-dev.net/13/1165/2020/gmd-13-1165-2020.pdf

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Intelligent mapping between GPU and cluster computing for discovering big association rules

Autor: Youcef Djenouri, Djamel Djenouri, Zineb Habbas

Publikováno v: Applied Soft Computing
Applied Soft Computing, Elsevier, 2018, 65, pp.387-399. ⟨10.1016/j.asoc.2018.01.031⟩
Applied Soft Computing, 2018, 65, pp.387-399. ⟨10.1016/j.asoc.2018.01.031⟩
Djenouri, Y, Djenouri, D & Habbas, Z 2018, ' Intelligent mapping between GPU and cluster computing for discovering big association rules ', Applied Soft Computing, vol. 65, pp. 387-399 . https://doi.org/10.1016/j.asoc.2018.01.031

This paper deals with the discovery of association rules from transactional database and explores the combination of GPU and cluster-based parallel computing techniques. Four HPC-based bees swarm optimization approaches are proposed. The first and th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8cd15897ef082be3d0efb0c6e948ab3
https://doi.org/10.1016/j.asoc.2018.01.031

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