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Welcome to Parallel.GAMIT

Parallel.GAMIT is a powerful Python package designed to streamline and accelerate the processing of GPS data for geodetic applications, using MIT's GAMIT/GLOBK software. This repository focuses on parallelizing the workflow, allowing for efficient utilization of computing resources and significantly reducing the time required for complex data analyses.

Developed by Demian Gomez and contributors, Parallel.GAMIT provides a framework to manage and run multiple GAMIT jobs in parallel, optimizing processing times and enabling researchers to handle large datasets with ease. Parallel.GAMIT also integrates with PostgreSQL, a robust relational database management system, allowing for efficient storage, retrieval, and management of GNSS data, logs, and results. This integration ensures a scalable, organized data handling solution, especially beneficial for large-scale projects.

Key features of Parallel.GAMIT include:

• Data Preparation: Efficiently prepare data for parallel processing with GAMIT/GLOBK. Using Parallel.GAMIT's webfront and REST-API, users can easily visualize the data and metadata being processed.
• Parallel Execution: Run GAMIT processing tasks concurrently to maximize computational throughput.
• Database Integration: Store and manage data in PostgreSQL for enhanced accessibility and organization.
• Error Handling and Monitoring: Built-in tools for error detection and log management, ensuring robust and smooth operations.

With Parallel.GAMIT, you can expedite the traditionally time-consuming steps of GPS data processing, paving the way for faster analysis and decision-making. Whether you're a geophysicist, a researcher in tectonics, or a geodesist, this package offers a practical solution for handling high-volume GNSS data efficiently. Dive into our documentation to get started and harness the power of parallel processing and database management with GAMIT!