The Center for Scalable Data and Computational Science (ScaleS) focuses on emerging scalable architectures and algorithms that can utilize high-performance computing, cloud computing, and other advanced computing environments for big data from different science disciplines (e.g., Earth, manufacturing, and health), and interdisciplinary research on how such data and computational science advances can help scientific applications. The center will connect faculty who work on scalable data/computing techniques with faculty who work on related scientific applications. It will form interdisciplinary teams, conduct research with greater impacts and pursue related funding opportunities.
ScaleS website: Center for Scalable Data and Computational Science