2018 Symposium of the Center for Network and Storage Enabled Collaborative Computational Science

Session

Complementary Technology Solutions

15 Oct 2018, 16:00

North Quad room 2435 (University of Michigan)

15. Reproducible computational workflows with signac

Mr Bradley Dice (University of Michigan)

15/10/2018, 16:00

Complementary Technology Solutions

Presentation

The open-source Python framework signac is designed to manage data sets and perform operations on the data in an efficient, reproducible, and collaborative way. The framework is particularly well-suited for data-driven exploration of file-based, dynamic and heterogeneous data spaces. In contrast to many databases and task executors, signac's serverless data management and signac-flow's...

10. Distributed Data in Astronomy: A Heterogeneous Network

Christopher Miller (University of Michigan)

15/10/2018, 16:30

Complementary Technology Solutions

Presentation

Astronomy is a data intensive science that utilizes remote sensing. Astronomical data has always been heterogeneous in terms of its distribution, accessibility and characterization. Today, the data have become so large that one is required to conduct the analysis at the location of the data, creating new challenges for data security. I will discuss different solutions for how astronomy is...