Performance evaluation of halide auto-scheduler with directional cubic convolution interpolation
Performance evaluation of halide auto-scheduler with directional cubic convolution interpolation
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DOI：
10.1117/12.2666979
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发表时间：
2023-03
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通讯作者：
Haruki Nogami;Sou Oishi;Tomohiro Sasaki;Y. Maeda;Norishige Fukushima
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作者：
Haruki Nogami;Sou Oishi;Tomohiro Sasaki;Y. Maeda;Norishige Fukushima
寻找计算的最佳实现是图像处理编程中最关键的挑战之一。Halide是一种用于高性能图像处理的领域特定语言。它的自动调度器是解决这个问题的一个有用的工具，但是，它的调度并不是复杂流的灵丹妙药。在本文中，我们评估的自动调度器的性能进行比较，手动实现的C++代码。用于比较的算法是定向三次卷积插值（DCCI），其计算时间表是具有挑战性的优化。我们评估了三个自动化的机器人：亚当斯等人。s，Li等人，s，and Mullapudi et al.实验结果表明，由亚当斯的方法产生的时间表的性能与手工实现的C++代码。
Finding the optimal implementation of calculations is one of the most critical challenges in image processing programming. Halide is a domain-specific language for high-performance image processing. Its auto-scheduler is a helpful tool for solving this problem; however, its scheduling is not a panacea for complex flows. In this paper, we evaluate the performance of the auto-scheduler by comparing it to hand-manually implemented C++ codes. The algorithm used for comparison is Directional cubic convolution interpolation (DCCI), whose computation schedule is challenging to optimize. We evaluate three auto-schedulers: Adams et al.’s, Li et al.’s, and Mullapudi et al.s. Experimental results show that the performance of the schedule generated by Adams’ method is comparable to that of the hand-implemented C++ code.