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EspressoDB: A scientific database for managing high-performance computing workflows

Year: 2020
Type: article
Abstract: Leadership computing facilities around the world support cutting-edge scientific research across a broad spectrum of disciplines including understanding climate change (Kurth et al., 2018), combating opioid addiction (Joubert et al., 2018), or simulating the decay of a neutron (Berkowitz et al., 2018).While the increase in computational power has allowed scientists to better evaluate the underlying model, the size of these computational projects has grown to a point where a framework is desired to facilitate managing the workflow.A typical scientific computing workflow includes:
Authors: Chia Chang, Christopher Körber, André Loud
Language: English
Open Access status: diamond
OpenAlex ID: W2993731609
FWCI: 1.204
Cites: 5
Cited by: 8
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