Abstract

Scientists using the high-throughput computing (HTC) paradigm for scientific discovery rely on complex software systems and heterogeneous architectures that must deliver robust science (i.e., ensuring performance scalability in space and time; trust in technology, people, and infrastructures; and reproducible or confirmable research). Developers must overcome a variety of obstacles to pursue workflow interoperability, identify tools and libraries for robust science, port codes across different architectures, and establish trust in non-deterministic results. This poster presents recommendations to build a roadmap to overcome these challenges and enable robust science for HTC applications and workflows. The findings were collected from an international community of software developers during a Virtual World Cafe in May 2021.

Metadata

publication

2021 IEEE International Conference on Cluster Computing (CLUSTER), 807-808, 2021

year

2021

publication date

2021/9/7

authors

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

link

https://ieeexplore.ieee.org/abstract/document/9556084/

resource_link

https://par.nsf.gov/servlets/purl/10392351

conference

2021 IEEE International Conference on Cluster Computing (CLUSTER)

pages

807-808

publisher

IEEE