Search Results for "ca-clipper"
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Showing 8 open source projects for "ca-clipper"
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Golly
For exploring cellular automata like Conway's Game of Life.
A cross-platform application for exploring Conway's Game of Life and many other types of cellular automata. -
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DEVS-Suite Simulator
Component, CA, and CCA models; superdense time, ETL DB, testing, etc.
Integrated component-based and cellular automata (CA) Parallel DEVS simulator. Version: 8.0 [Aug `26], 7.0 [Jan `23], 6.1 [Apr. `21], 6 [Sep. `20] , 5 [Jul. `19], 4 [Mar. `18], 3 [Apr. `15], 2.1 [Feb. `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models (https://acims.asu.edu/software/cosmos/). -
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CASUP
Cellular Automata library for SUPercomputers (CASUP)
CASUP is a Cellular Automata (CA) library for HPC and supercomputers. It can be used in materials science (microstructure evolution, grain coarsening, fracture etc.), physics (Ising magnetisation) and for many other CA. If you use the library, please reference it as: A. Shterenlikht, L. Margetts, Three-dimensional cellular automata modelling of cleavage propagation across crystal boundaries in polycrystalline microstructures, Proc. -
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CoSMoSim
Visual & persistent families of models for CA, DEVS, and Statecharts
CoSMoSim offers an integrated framework for model development, simulation, & experimentation. Its unified logical, visual, and persistence framework supports specifying families of parallel CA, DEVS, Statecharts, and XML-Schema models (see DEVS-Suite simulator). -
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Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
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Active Networking provides a framework in which executable code within data packets can execute upon intermediate network nodes. The goal of this research is to develop active networks that are capable of predicting their own behavior and to use this ca
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