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A novel platform (hardware and software) for complex systems modeling is proposed. It exploits the newest developments in both software (Continuum's - Anaconda's Numba and Numbapro Python packages) and hardware (the use of parallel computation on GPU provided by the CUDA computing platform) to ensure high-performance, high-productivity and high-portability in developing and simulating models of cellular...
Computational efficiency and several other criteria are investigated from the perspective of using Python and Julia languages when used in natural computing and complexity related algorithms. While such algorithms often require high computational power, portability and easiness of implementing various algorithms, it is important to identify freely available platforms for high performance, high portability...
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