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While there are many parallel implementations for support vector machines (SVMs), there is no clear suggestion for every application scenario. Many factor\u2014including optimization algorithm, problem size and dimension, kernel function, parallel programming stack, and hardware architecture\u2014impact the efficiency of implementations. It is up to the user to balance trade-offs, particularly between computation time and classification accuracy. 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