Parallelization Strategies for Spatial Agent-Based Models

OpenMP parallelization of agent-based models

Agent-based models, an emerging paradigm of simulation of complex systems, appear very suitable to parallel processing. However, during the parallelization of a simulator of financial markets, we found that some features of these codes highlight non-trivial issues of the present hardware/software platforms for parallel processing. Here we present the results of a series of tests, on different p...

Adaptive parallelization of strategies in agent based systems

C. Geiger ([email protected]), B. Kaltho ([email protected]) Heinz Nixdorf Institut, Fuerstenallee 11, 33102 Paderborn, Germany Abstract In this paper we present an approach for adaptive partitioning of strategies in agent oriented systems based on algorithmic skeletons [2]. This provides the user with parallel programming templates for modeling agent strategies and their e cient parall...

Computational Laboratories for Spatial Agent - Based Models

Parallelization of Rich Models for Steganalysis of Digital Images using a CUDA-based Approach

There are several different methods to make an efficient strategy for steganalysis of digital images. A very powerful method in this area is rich model consisting of a large number of diverse sub-models in both spatial and transform domain that should be utilized. However, the extraction of a various types of features from an image is so time consuming in some steps, especially for training pha...

Agent-based Models and the Spatial Sciences

Agent-based models (ABMs) are used in the spatial sciences as building-blocks for computer simulation. ABMs have a range of advantageous attributes, not least of which is their flexibility in representing dynamic and highly adaptive physical or human phenomena. ABMs facilitate the exploration of ideas about the myriad of ways that geographical systems develop, behave, interact and evolve, often...