Parallelization techniques refer to methods used to divide computational tasks into smaller, independent parts that can be executed simultaneously across multiple processors or computing units. This approach is particularly important in the field of kinetic and hybrid modeling, where complex simulations can be broken down into smaller calculations that speed up processing time and improve overall efficiency.
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