Search Results for "java to c++ converter" - Page 4
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Showing 87 open source projects for "java to c++ converter"
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The Network Security Response Framework (NSRF) allows for testing different computer security response engines and methodologies. It supports simulated and real: Intrusion Detection Systems (sensors), Attacks, and Responses.
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Another implementation of Risiko written in java at "ITIS DALMINE" high school in Italy (www.itisdalmine.it).
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This projects aims at providing java-bindings to the CUDA numeric environment. CUDA is an extension to the C/C++ programming language by NVIDIA.
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This project aims to develop various tools for artificial life and complex systems simulations: from the simulator itself to generic generation tools.
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WTelecom is a RealTime Software to manage a telecom network. This prototype can be implemented for a production use.
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Wintermute Gambling Engine is a neuronal neutwork for playing Oddset (German Soccer Bets). Written in Java and parts in C#.
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Implementation of a bidirectional bridge between Sun SPOTs and virtual Spaughts in SecondLife using XML-RPC between Java (spot-side) and C# (libsecondlife on SL-side).
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CAEBeans is the hierarchy of problem-oriented shells over CAE-package. Their functionality is implemented using GPE (Grid Programming Environment) architecture.
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MEX/JNI is a set of bindings between MATLAB and Java using Mathworks' External Interface API and Java Native Interface (JNI).
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CoSimA+
The Co-Simulation Adaptation Platform
The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform. -
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Integrated environment for the modelling and simulation of process control systems, where the plant(s) are described according to the Modelica object-oriented paradigm, while the control systems are specified in an IEC 61131.3-compliant language.
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A .Net Library that lets you make full use of multi-core and multiprocessor computers. It is very efficient, and easily integrated into existing applications. It is modeled after the Parallel FX usage model, and is faster than the PFX too.
