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假设我有一个python如下所示的脚本。既然python是single threaded，我会使用什么工具来分发loops不同的cores/computers？

series=pandas.Series()

# evaluate an model 
def evaluate_model(X, O):
    ...

def evaluate_models(dataset, p_values, d_values, q_values):
    dataset = dataset.astype('float32')
    best_score, best_cfg = float("inf"), None
    for p in p_values:
        for d in d_values:
            for q in q_values:
                order = (p,d,q)
                try:
                    mse = evaluate_model(dataset, order)
                    if mse < best_score:
                        best_score, best_cfg = mse, order
                    print('A%s MSE=%.3f' % (order, mse))
                except:
                    continue
    print('Best model%s MSE=%.3f' % (best_cfg, best_score))


# evaluate parameters
p_values = [0, 1, 2, 4, 6, 8, 10]
d_values = range(0, 3)
q_values = range(0, 3)

evaluate_models(series.values, p_values, d_values, q_values)

如果我能说：

run_on_grid(evaluate_models(series.values, p_values, d_values, q_values))

如果可以将“run_on_grid”配置为指向本地GPU.

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