CyberGIS-Compute: Middleware for democratizing scalable geocomputation

Alexander C. Michels, Anand Padmanabhan, Zimo Xiao, Mit Kotak, Furqan Baig, Shaowen Wang

Research output: Contribution to journalArticlepeer-review

Abstract

CyberGIS—geographic information science and systems (GIS) based on advanced cyberinfrastructure—is becoming increasingly important to tackling a variety of socio-environmental problems like climate change, disaster management, and water security. While recent advances in high-performance computing (HPC) have the potential to help address these problems, the technical knowledge required to use HPC has posed challenges to many domain experts. In this paper, we present CyberGIS-Compute: a geospatial middleware tool designed to democratize HPC access for solving diverse socio-environmental problems. CyberGIS-Compute does this by providing a simple user interface in Jupyter, streamlining the process of integrating domain-specific models with HPC, and establishing a suite of APIs friendly to domain experts.

Original languageEnglish (US)
Article number101691
JournalSoftwareX
Volume26
DOIs
StatePublished - May 2024

Keywords

  • CyberGIS
  • High-performance computing
  • Middleware
  • Scientific workflow

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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