Reduced O3 subsequence labelling: a stepping stone towards optimisation sequence prediction

نویسندگان

چکیده

Finding a good compiler autotuning methodology, particularly for selecting the right set of optimisations and finding best ordering these given code fragment has been long-standing problem. As rapid development machine learning techniques, tackling problem using or deep become increasingly common in recent years. There have many models proposed to solve problems, such as predicting optimal heterogeneous mapping thread-coarsening factor; however, very few revisited optimisation phase tuning. In this paper, we intend revisit tackle techniques. Unfortunately, is too complex be addressed its full scope. We present new problem, called reduced O3 subsequence labelling – defined passes that contains no useless passes, which simplified expected stepping stone towards solving tuning formulated attempted by genetic algorithms. believe with mature model predicts subsequences even could developed used prune search space tuning, thereby shortening process also providing more effective results.

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ژورنال

عنوان ژورنال: Connection science

سال: 2022

ISSN: ['0954-0091', '1360-0494']

DOI: https://doi.org/10.1080/09540091.2022.2044761