Rajbir Parmer

Dask; Distributed Computing; Water Quality Modeling; Computational Graphs The Dask Python package provides an efficient way to design and execute distributed applications across a collection of computing resources. By constructing our water quality simulations, a collection of individual stream simulations within a stream network, as a Dask computational graph, we have developed the ability to execute temporally and spatially large water quality simulations in a distributed fashion.

Abstract Scientific computing applications can be complex to design, difficult to deploy, and expensive computationally. Using the latest advances in software engineering and cloud technologies, we can greatly mitigate these challenges while also providing new opportunities to pursue research with increased flexibility.