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OGC Testbed 19 High Performance Geospatial Computing Engineering Report
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| Definitionskos:definition | Large-scale geospatial analytical computation is critically needed for tackling a wide range of sustainability problems, such as climate change, disaster management, and food and water security. However, such computation often requires high-performance computing (HPC) resources that are not easily accessible or usable by geospatial researchers and practitioners from various domains. To address this challenge, there is a need for developing and standardizing tools and interfaces that can bridge the gap between user frontend and HPC backends and enable effective and efficient use of High-Performance Geospatial Computing (HPGC) resources for geospatial analytics.
This OGC Testbed 19 Engineering Report (ER) presents the results of a testbed task that:
* evaluated previous and current work in the application of HPC for geospatial analytics, and
* developed draft standards for HPGC resource definitions and processing interfaces.
This ER provides an overview of the Testbed 19 motivation, objectives, scope, and methodology, as well as a summary of the main findings, recommendations, and future work directions.
CyberGIS-Compute is reviewed and used as a reference to develop the HPGC API. “CyberGIS-Compute is an open-sourced geospatial middleware framework that provides integrated access to high-performance computing (HPC) resources through a Python-based SDK and core middleware services.”< |
|---|---|
| Broaderbroader | Public Engineering Report |
| http://purl.org/dc/terms/createdcreated | 2024-04-26 |
| Creatorcreator | Eugene Yu, Liping Di |
| seeAlsoseeAlso | https://docs.ogc.org/per/23-044.html |
| Statusstatus | valid |
| Notationnotation | 23-044 |
| Alternative LabelaltLabel | 23-044 |
| OGC Testbed 19 High Performance Geospatial Computing Engineering Report | |
| OGC document typedoctype | Public Engineering Report |