Compiler optimization used manual tuning technique in the past several decades.
过去几十年编译器的优化主要使用的是人工调优的方法。
The experimental results show that, automatic compiler tuning can get better performance than the manual tuning in the training cases and in the new cases, they get close performance.
实验数据表明，基于机器学习的编译自动调优技术对已知实例能得到比手工调优更好的性能，而对未知实例的预测能力也能达到跟手工调优接近的水平。
The experimental results show that, automatic compiler tuning can get better performance than the manual tuning in the training cases and in the new cases, they get close performance.
实验数据表明，基于机器学习的编译自动调优技术对已知实例能得到比手工调优更好的性能，而对未知实例的预测能力也能达到跟手工调优接近的水平。
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