Staff Section Head - Arjun Shankar
The Advanced Technologies section offers scientific, technical, operational, and thought leadership by developing, hardening, and deploying solutions for compute and data intensive computing environments. The section develops and deploys emerging large-scale data science and AI methods for scientific user programs and enables innovation through operational data analytics. The team members enable data stewardship and enriched scalable data access capabilities and develop end-to-end scientific workflow technologies for user programs. They identify technical gaps in the computing and data sciences ecosystems so they can implement solutions to enable scientific discovery.
|Analytics and AI Methods at Scale||
The Analytics and AI Methods at Scale Group develops and deploys emerging large-scale data science and AI methods for scientific user programs and enables innovation through operational data analytics.
|Data Lifecycle & Scalable Workflows||
The Data Lifecycle & Scalable Workflows Group enables data stewardship and enriched scalable data access capabilities, and develops end-to-end scientific workflow technologies to user programs.
The Technology Integration (TechInt) group is charged with delivering new technologies into the Leadership Computing Facility (OLCF) by identifying gaps in the system software and hardware stack and develop, harden, and deploy solutions. Their technology scope includes file and storage systems, system architecture, non-volatile memory, data management, high-performance networking, intelligent facility operations, and data analytics. TechInt staff work to design and procure the OLCF systems (Titan, Summit, Frontier, Spider, HPSS, and data analysis clusters), develop the infrastructure that supports these systems, and keep OLCF ahead of the technology curve. They research and evaluate emerging technologies in the aforementioned areas and provide the systems programming to seamlessly integrate technologies and tools into the infrastructure as they are adopted.