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- W4312549061 abstract "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 (HPC) clusters are often involved and to achieve bit-to-bit reproducibility, it might be even necessary to execute the code on a particular cluster to avoid differences caused by different HPC platforms (and unless this is a scientist's local cluster, it needs to be accessed across (administrative) borders). Preferably, to allow even inexperienced users to (re-)produce results, all should be user-friendly. While some easy-to-use web-based scientific portals support already to access HPC resources, this typically only refers to computing and data resources that are local. By the example of two community-specific portals in the fields of biodiversity and climate research, we present a solution for accessing remote HPC (and cloud) compute and data resources from scientific portals across borders, involving rigorous container-based packaging of the software version and setup automation, thus enhancing reproducibility." @default.
- W4312549061 created "2023-01-05" @default.
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- W4312549061 date "2022-10-01" @default.
- W4312549061 modified "2023-09-27" @default.
- W4312549061 title "Reproducible Cross-border High Performance Computing for Scientific Portals" @default.
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- W4312549061 doi "https://doi.org/10.1109/escience55777.2022.00087" @default.
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