Reproducible Cross-border High Performance Computing for Scientific Portals

Autor: Kessy Abarenkov, Anne Fouilloux, Helmut Neukirchen, Abdulrahman Azab

Publikováno v: 2nd Workshop on Reproducible Workflows, Data Management, and Security

To reproduce eScience, several challenges need to be solved: scientific workflows need to be automated; the involved software versions need to be provided in an unambiguous way; input data needs to be easily accessible; High-Performance Computing (HP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::054441faf7bfa976f8fe38b278291d9c

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

Autor: Gabriele Cavallaro, Petur Einarsson, Matthias Book, Helmut Neukirchen, Chadi Barakat, Morris Riedel, Andreas Lintermann, Reza Hassanian, Rocco Sedona

Publikováno v: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
IEEE 76-85 (2021). doi:10.1109/IPDPSW52791.2021.00019
IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), Portland, USA, 2021-06-17-2021-06-21
IPDPS Workshops

We observe a continuously increased use of Deep Learning (DL) as a specific type of Machine Learning (ML) for data-intensive problems (i.e., ’big data’) that requires powerful computing resources with equally increasing performance. Consequently,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a63bf3ca8b95bd1fa71d33bcf227eb

ScientificWorkflows Applied to the Coupling of a Continuum (Elmer v8.3) and a Discrete Element (HiDEM v1.0) Ice Dynamic Model

Autor: Shahbaz Memon, Dorothée Vallot, Thomas Zwinger, Jan Åström, Helmut Neukirchen, Morris Riedel, Matthias Book

Scientific computing applications involving complex simulations and data-intensive processing are often composed of multiple tasks forming a workflow of computing jobs. Scientific communities running such applications on distributed and heterogeneous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be460b3254013c930e7b89063d4b8a05
https://www.geosci-model-dev-discuss.net/gmd-2018-158/

Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images

Autor: Gabriele Cavallaro, Morris Riedel, Helmut Neukirchen, Ernir Erlingsson

Publikováno v: IGARSS
IEEE 1792-1795 (2018). doi:10.1109/IGARSS.2018.8517378
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018-07-22-2018-07-27
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium

Progress in sensor technology leads to an ever-increasing amount of remote sensing data which needs to be classified in order to extract information. This big amount of data requires parallel processing by running parallel implementations of classifi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::240cad215c59049b666920dfd63d1fcc
https://doi.org/10.1109/igarss.2018.8517378

Towards Federated Service Discovery and Identity Management in Collaborative Data and Compute Cloud Infrastructures

Autor: Shiraz Memon, Helmut Neukirchen, Elbers Willem, Morris Riedel, Matthias Book, Jensen Jens

Publikováno v: Journal of grid computing 16(4), 663–681 (2018). doi:10.1007/s10723-018-9445-3

This paper compares three multi-national research infrastructures, one that provides data services, one that provides compute services, and one that supports linguistics research. The aim is to jointly provide services to the user communities, and, p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9ace5b9dc4ce11cba0f1dcf347eecce