3 papers
cs.DC2019
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure
Ilkay Altintas, Kyle Marcus, Isaac Nealey +7
The advances in data, computing and networking over the last two decades led to a shift in many application domains that includes machine learning on big data as a part of the scie…
cs.CY2019
Towards A Methodology and Framework for Workflow-Driven Team Science
Ilkay Altintas, Shweta Purawat, Daniel Crawl +2
Scientific workflows are powerful tools for management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provi…
cs.CL2018
Enabling FAIR Research in Earth Science through Research Objects
Andres Garcia-Silva, Jose Manuel Gomez-Perez, Raul Palma +24
Data-intensive science communities are progressively adopting FAIR practices that enhance the visibility of scientific breakthroughs and enable reuse. At the core of this movement,…