CyberGIS-Compute: Enabling Simplified Access to High Performance Computing for your Geospatial Computation
Date: Wednesday, November 2, 2022 Time: 3:00 pm (Central Time)
CyberGIS-Compute is an open-sourced geospatial middleware framework that provides seamless access to high-performance computing (HPC) resources through a Python SDK. This software was designed to help lower the technical barriers to utilizing HPC for domain experts by implementing a streamlined framework for specifying models to be run on HPC and providing a Graphical User Interface (GUI) for end-users running models. In this VCO, we briefly recap what CyberGIS-Compute is and how it can be used (discussed in our previous VCO session, CyberGIS-Compute: Geospatial Middleware for Simplifying Access to High-Performance Computing), then delve into the basics of creating a model that can be executed on CyberGIS-Compute.
He is a Research Associate Professor in the Department of Geography and Geographic Information Science at the University of Illinois Urbana-Champaign (UIUC). He is also the Managing Director of the NSF I-GUIDE. He received his Ph.D. in Computer Science from the University of Iowa, and his research interests include geographic information systems and science (GIS); advanced cyberinfrastructure and cyberGIS; geospatial data science and big data; high performance, data-intensive, and cloud computing; and parallel and distributed systems. He has contributed to several large national cyberinfrastructure projects, such as the Open Science Grid (OSG) and NSF Extreme Science and Engineering Discovery Environment (XSEDE), and developed a number of cyberGIS and geospatial capabilities. He has published numerous peer-reviewed publications and taught several university-level courses.
He is a fourth-year Ph.D. student studying Spatial Informatics under Dr. Shaowen Wang at UIUC. He is a research assistant at UIUC’s CyberGIS Center for Advanced Digital and Spatial Studies. Alex is passionate about (1) innovating cyberGIS to explore, model, and analyze spatial patterns and systems of inaccessibility and inequity and (2) making cyberGIS tools and technology accessible to all. He is a lead developer of CyberGIS-Compute, and his current research focuses on spatial agent-based models and spatial accessibility analytics for public health.