Geospatial simulation steering for adaptive management

A Petrasova, DA Gaydos, V Petras, CM Jones… - … Modelling & Software, 2020 - Elsevier
Spatio-temporal simulations are becoming essential tools for decision makers when
forecasting future conditions and evaluating effectiveness of alternative decision scenarios …

FUTURES-AMR: towards an adaptive mesh refinement framework for geosimulations

A Shashidharan, RR Vatsavai… - 10th International …, 2018 - drops.dagstuhl.de
Abstract Adaptive Mesh Refinement (AMR) is a computational technique used to reduce the
amount of computation and memory required in scientific simulations. Geosimulations are …

Automated in situ computational steering using ascent's capable yes-no machine

M Lawson, C Harrison, E Brugger, A Skinner… - ISAV'21: In Situ …, 2021 - dl.acm.org
The life of a multi-physics code user is complicated. Simulation crashes, efficient resource
utilization, and simulation parameter choices are time consuming workflow issues that …

Futures-dpe: towards dynamic provisioning and execution of geosimulations in hpc environments

A Shashidharan, RR Vatsavai… - Proceedings of the 26th …, 2018 - dl.acm.org
Geosimulations using computer simulation models provideGI scientists an effective way to
study complex geographic phenomena and predict future outcomes. Typically …

[图书][B] A High-Performance Geospatial Architecture for Geosimulations

A Shashidharan - 2018 - search.proquest.com
Modeling and forecasting using geosimulations is a popular approach in geographic and
environmental studies. Geosimulations account for space, time, and complex spatiotemporal …