Presentation
Private and Equitable Access for Large-Scale Systems
DescriptionLarge-scale systems collect enormous amounts of data and metadata about users located around the globe. Access to such systems faces regulatory, political, economic, and technological barriers, while privacy constraints prevent data sharing. We discuss operational practices for redesigning private and equitable HPC flows where privacy can serve utility. We explore anonymization techniques in the HPC context and discuss challenges in incorporating them into large-scale systems. We refer to current data protection regulations to address data transparency, processing, and management responsibilities for systems administrators.
