Year: 2008
Type: article
Abstract: Simulations users at all levels make heavy use of compute resources to drive computational \nsimulations for greatly varying applications areas of research using different simulation \nparadigms. Simulations are implemented in many software forms, ranging from highly standardised \nand general models that run in proprietary software packages to ad hoc hand-crafted \nsimulations codes for very specific applications. Visualisation of the workings or results of a \nsimulation is another highly valuable capability for simulation developers and practitioners. \nThere are many different software libraries and methods available for creating a visualisation \nlayer for simulations, and it is often a difficult and time-consuming process to assemble a \ntoolkit of these libraries and other resources that best suits a particular simulation model. We \npresent here a break-down of the main simulation paradigms, and discuss differing toolkits and \napproaches that different researchers have taken to tackle coupled simulation and visualisation \nin each paradigm.
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W1565023548