Abstract

This poster presents our first steps to define a roadmap to robust science for high-throughput applications used in scientific discovery. These applications combine multiple components into increasingly complex multi-modal workflows that are often executed in concert on heterogeneous systems. The increasing complexity hinders the ability of scientists to generate robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Scientists must withstand and overcome adverse conditions such as heterogeneous and unreliable architectures at all scales (including extreme scale), rigorous testing under uncertainties, unexplainable algorithms in machine learning, and black-box methods. This poster presents findings and recommendations to build a roadmap to overcome these challenges and enable robust science. The …

Metadata

publication

2021 IEEE 17th International Conference on eScience (eScience), 247-248, 2021

year

2021

publication date

2021/9/20

authors

Michela Taufer, Ewa Deelman, R Ferreira da Silva, Trilce Estrada, M Hall

link

https://ieeexplore.ieee.org/abstract/document/9582330/

resource_link

https://par.nsf.gov/servlets/purl/10392352

conference

2021 IEEE 17th International Conference on eScience (eScience)

pages

247-248

publisher

IEEE