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The main user interface is the Swift script, a high-level program.
#Anylogic software memory install#
The tools are also easy to install and run on an ordinary laptop, requiring only an MPI (Message Passing Interface) implementation, which can be easily obtained from common OS package repositories.įigure 1: Overview of Extreme-scale Model Exploration with Swift/T (EMEWS) framework.įigure 1 illustrates the main components of the EMEWS framework. Initial scaling studies of EMEWS have shown robust scalability (Ozik, Collier, and Wozniak 2015).
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there is a clear need to provide software frameworks for metaheuristics that promote software reuse and reduce developmental effort.” (Boussad, Lepagnot, and Siarry 2013) Our design goals are to ease software integration while providing scalability to the largest scale (petascale plus) supercomputers, running millions of ABMs, thousands at a time. To improve the current state of the art it has been noted elsewhere that: “. Extracting knowledge from ABMs requires the use of approximate, heuristic ME methods involving large simulation ensembles.
![anylogic software memory anylogic software memory](https://www.anylogic.com/upload/medialibrary/c82/c82652c14223186a085bf2a7c2d7f58c.jpg)
Here, we focus on agent-based models (ABMs). The general-purpose nature of the programming model allows the user to supplement the workflows with additional analysis and post-processing as well. These workflows enable the integration of external ME algorithms to coordinate the running and evaluation of large numbers of simulations. 2014) to generate highly concurrent simulation workflows. Our framework, Extreme-scale Model Exploration with Swift/T (EMEWS), uses the general-purpose parallel scripting language Swift (Armstrong et al. In this tutorial, we present a solution for many of the challenges in running large-scale simulation studies. Constructing the software to run such studies at the requisite computational scales is often unnecessarily time-consuming and the resulting software artifacts are typically difficult to generalize and package for other users. Simulations may be run with different parameters, possibly as part of an automated model parameter optimization, classification, or, more generally, model exploration (ME). Modern simulation-based application studies are campaigns consisting of large numbers of simulations with many possible variations.
![anylogic software memory anylogic software memory](https://img.yumpu.com/62663225/1/500x640/anylogic-7-in-3-days.jpg)
#Anylogic software memory download#
The use-cases are published on a public repository for interested parties to download and run on their own. We will present a number of use-cases, starting with a simple agent-based model parameter sweep, and ending with a complex adaptive parameter space exploration workflow coordinating ensembles of distributed simulations. This tutorial presents the Extreme-scale Model Exploration with Swift/T (EMEWS) framework for combining existing capabilities for model exploration approaches (e.g., model calibration, metaheuristics, data assimilation) and simulations (or any “black box”Īpplication code) with the Swift/T parallel scripting language to run scientific workflows on a variety of computing resources, from desktop to academic clusters to Top 500 level supercomputers.