National Discovery Cloud for Climate

Overview presentations by the National Science Foundations's National Discovery Cloud for Climate initiative. 

Session 1: October 13th, 2023

• Marlon Pierce: Overview of the National Discovery Cloud for Climate Initiative
• Stephen Deems: ACCESS Overview and Allocation Processes
• Brian Bockelman: Pelican and the Open Science Data Federation
• Michael Norman: CloudBank

Session 2: October 20th, 2023

• Douglas Schuster: Integrating NCAR’s data infrastructure with the OSDF 
• Ana Hunsinger: 21st Century Research-Cyberinfrastructure for MSIs through the Minority Serving - Cyberinfrastructure Consortium (MS-CC)
• Wendy Huntoon: Tribal College and University CI Facilitation
• Kate Keahey: Chameleon III: A Large-Scale, Reconfigurable Experimental Environment for Cloud Research 
• Robert Ricci: CloudLab III: Expanding the Frontiers of Cloud Computing Through World-Class Community Infrastructure 
• Sudeep Pasricha: DESC:Type I: Sustainable Serverless Computing 

Session 3: October 27th, 2023

• Ilkay Altintas: National Data Platform Pilot: Services for Equitable Open Access to Data  Michael Zink: SPRITE: Sensor Processing and Realtime Intelligence at The Edge - Supporting the National Discovery Cloud for Climate with Advanced Networking, Cloud, and Edge Computing 
• Michela Taufer: A Comprehensive Approach for Generating, Sharing, Searching, and Using High-Resolution Terrain Parameters
• Donata Giglio: Long-term Deployment Sustainability Strategy for Argovis 
• William Gropp: Crossing the Divide Between Today's Practice and Tomorrow's Science and Bridging the Gap Between AI/ML Computing Demands and Today's Capabilities (Delta and DeltaAI Supercomputers) 

Session 4: November 3rd, 2023

• Ilsa Simpson: Atmospheric Physics Needs for Community Climate Modeling 
• Pete Beckman: A National-Scale Testbed Supporting Artificial Intelligence Research Spanning the Computing Continuum 
• Tommy Minyard: Stampede3 -- Modernizing and Evolving The Largest ACCESS Compute Resource 
• Twila Moon, Matt Jones: QGreenland-Net: Open, connected data infrastructure for Greenland-focused geoscience, and beyond 
• Lakshminarayan Subramanian: Scalable Climate Modeling using Message-Passing Recurrent Neural Networks

Session 5: November 17th, 2023

• Andy Aschwanden: Enhancing usability of the Parallel Ice Sheet Model (PISM) to accelerate innovative sea-level research
• Joanmarie DelVecchio: A workflow for efficient and reproducible permafrost geomorphology analysis
• Sudarsun Kannan: A Unified Monitoring Approach to Enhancing the Security and Resiliency of Hazard Workflows on Heterogeneous Infrastructures
• David Hyde: Advanced cloud-based Data and Visualization-Integrated Simulation EnviRonment (ADVISER) to Advance Computational Glaciology 
• Udit Gupta: Cloud Infrastructures for Designing Sustainable Electronics

Session 6: December 1st, 2023

• Leonardo Bobadilla: EnviStor: A Repository for Supporting Collaborative Interdisciplinary Research on South Florida's Built and Natural Environments
• Roch Guerin: Speeding-up large-scale simulations of atmospheric composition
• Xun Jian: A Cross-stack Approach to Reduce Memory Carbon in Cloud Data Centers
• Dan Amrhein, Michael Long: A community platform for accelerating observationally-constrained regional oceanographic modeling
• Carrie Bell: Development of cyberinfrastructure to establish a scalable application of self-supervised machine learning for over a decade of NOAA's water column sonar data
• Jingjing Liang: Science-i Cyberinfrastructure for Forest Ecosystem Research