AV1视频编码工作负载的微架构性能评估

2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) Pub Date : 2022-05-01 DOI:10.1109/ISPASS55109.2022.00038

Steffen Jensen, Jaekyu Lee, Dam Sunwoo, Matthew Horsnell, L. John

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引用次数: 1

摘要

视频编码/解码在当今社会是一项非常重要的工作。视频在全球网络流量中占很大比例，预计只会继续增长。因此，了解这些工作负载以优化硬件以更好地处理它们非常重要。本文探讨了AV1编码工作负载占用大量运行时间的原因。我们发现SVT-AV1编码器的运行时间明显高于其他编码器，因为它需要更多的指令来编码相同的视频，而不是任何显著的微架构低效。我们还比较了SVT-AV1与其他编解码器的线程缩放，并观察到SVT-AV1包含测试编码器的最高并行度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Microarchitectural Performance Evaluation of AV1 Video Encoding Workloads

Video encoding/decoding is an extremely relevant workload in our society today. Videos account for a significant percentage of the world’s network traffic, which is expected only to be growing. Thus, it is important to understand these workloads to optimize the hardware to handle them better.This paper explores the reasons for the large runtimes taken by AV1 encoding workloads. We discover that the runtime of the SVT-AV1 encoder is significantly higher than other encoders because it requires a larger number of instructions to encode the same video, rather than any significant microarchitectural inefficiencies. We also compare the thread scaling of SVT-AV1 against other codecs and observe that SVT-AV1 contains the highest degree of parallelism of the tested encoders.

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2022 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

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