2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium 2015
DOI: 10.1109/hpcc-css-icess.2015.253
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Agent-Based High-Performance Simulation of Biological Systems on the GPU

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Cited by 5 publications
(3 citation statements)
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“…In order to facilitate the specification of system requirements, kPWorkbench features a property language, called kP-Queries, which comprises a list of property patterns written as natural language statements. The properties expressed in kP-Queries are verified using the Spin [13] The simulation component features a native simulator [2,19], which allows the users to simulate kP system models efficiently. In addition, kPWorkbench integrates the Flame simulator [4,23], a general purpose large scale agent based simulation environment, based on a method that allows users to express kP systems as a set of communicating X-machines [11].…”
Section: Kpworkbenchmentioning
confidence: 99%
“…In order to facilitate the specification of system requirements, kPWorkbench features a property language, called kP-Queries, which comprises a list of property patterns written as natural language statements. The properties expressed in kP-Queries are verified using the Spin [13] The simulation component features a native simulator [2,19], which allows the users to simulate kP system models efficiently. In addition, kPWorkbench integrates the Flame simulator [4,23], a general purpose large scale agent based simulation environment, based on a method that allows users to express kP systems as a set of communicating X-machines [11].…”
Section: Kpworkbenchmentioning
confidence: 99%
“…The framework features a native simulator [3,23], allowing the simulation of kP system models. In addition, it also integrates the Flame simulator [7], a general purpose large scale agent based simulation environment, based on a method that allows to express kP systems as a set of communicating X-machines [17].…”
Section: Kpworkbenchmentioning
confidence: 99%
“…One such membrane computing model is kernel P systems (kP systems, for short), introduced in [4,5]. kP systems are widely used in various applications, ranging from systems and synthetic biology to engineering applications [6][7][8][9][10][11][12]. It allows models to be simulated and formally verified using third party model checkers using a software framework, called kPWorkbench [13].…”
Section: Introductionmentioning
confidence: 99%