The National Science Foundation has awarded a $5 million grant to a team led by Indiana University to develop analytics technology that will support high-volume and dynamic data across the cyberinfrastructure.
NSF said the project aims to leverage high-performance computing and the commercial Apache Big Data Stack to design and deploy a Middleware for Data-Intensive Analytics and Science and a Scalable Parallel Interoperable Data Analytics Library to facilitate data-intensive analysis.
Through these offerings, the foundation said it seeks to address data analysis challenges in areas such as biomolecular simulations, spatial geographical information systems and pathology informatics.
Amy Walton, a program director at NSF’s Division of Advanced CyberInfrastructure, will manage the project and work with principal investigator Geoffrey Fox and co-principal investigators Fusheng Wang, Judy Qiu, Shantenu Jha and Madhav Marathe.
The project includes annual workshops with scientists and educators and will run through the end of September 2019.