Paper Info
Title
A Roadmap to Robust Science for High-throughput Applications: The Developers' Perspective
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.
Year
DOI
Venue
2021
10.1109/Cluster48925.2021.00068
2021 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2021)
Keywords
DocType
ISSN
Performance Scalability, Trustworthiness, Reproducibility
Conference
1552-5244
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
michela taufer135253.04
Ewa Deelman25948420.48
Rafael Ferreira da Silva345035.94
Trilce Estrada412018.27
Mary W. Hall52328263.34
Miron Livny6103162186.99