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on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use. However, powerful as it is, MagTense is at present limited in its
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of our information reconciliation library (Rust, C++ and CUDA) work with a team of engineers with backgrounds in electrical, quantum and telecommunication engineering Our expectations of you To be able
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs
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order to expedite the simulation, MagTense is based on a core implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs