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P2 Warehouse-scale video acceleration: co-design and deployment in the wild

仓库级视频加速:真实环境中的协同设计与部署
ASPLOS Proceedings of the 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems2021匹配度 1/10 · 该论文属于体系结构与数据中心视频转码加速器的协同设计与大规模部署,与用户关注的静态分析、LLM/Agent、浮点程序分析和贝叶斯程序分析没有直接交叉;仅在工业规模化部署经验上有非常微弱的参考价值。引用 43 inbox
Parthasarathy Ranganathan, Daniel Stodolsky, Jeff Calow, Jeremy Dorfman, Marisabel Guevara, Clinton Wills Smullen IV, Aki Kuusela, Raghu Balasubramanian, Sandeep Bhatia, Prakash Chauhan, Anna Cheung, In Suk Chong, Niranjani Dasharathi, Jia Feng, Brian Fosco, Samuel Foss, Ben Gelb, Sara J. Gwin, Yoshiaki Hase, Da-ke He, C. Richard Ho, Roy W. Huffman Jr., Elisha Indupalli, Indira Jayaram, Poonacha Kongetira, Cho Mon Kyaw, Aaron Laursen, Yuan Li, Fong Lou, Kyle A. Lucke, JP Maaninen, Ramon Macias, Maire Mahony, David Alexander Munday, Srikanth Muroor, Narayana Penukonda, Eric Perkins-Argueta, Devin Persaud, Alex Ramirez, Ville-Mikko Rautio, Yolanda Ripley, Amir Salek, Sathish Sekar, Sergey N. Sokolov, Rob Springer, Don Stark, Mercedes Tan, Mark S. Wachsler, Andrew C. Walton, David A. Wickeraad, Alvin Wijaya, Hon Kwan Wu
crossref: 2026-09-12

AI 速览

一句话:论文设计并大规模部署了面向仓库级视频转码的专用加速器 VCU,实现 20–33 倍能效提升。

视频分享等负载占据互联网流量主体,摩尔定律放缓使得大规模视频处理需要专用硬件加速。本文介绍面向仓库级视频转码的新型加速器的设计与规模化部署,提出新的加速器构建块——视频编码单元(VCU),讨论数据中心规模下均衡系统的关键设计权衡,以及与大规模分布式软件系统的协同设计。作者在真实数据中心负载中评估该加速器,相较此前精心调优的非加速基线,能效提升 20–33 倍;设计还支持适应变化瓶颈、改进故障管理,并带来原系统无法实现的新工作负载能力。据称这是首个大规模仓库级环境中的视频加速工作。

问题
视频处理负载巨大且摩尔定律放缓,如何在仓库级数据中心高效支持视频转码等任务。
方法
设计并部署包含视频编码单元(VCU)的专用加速器,与大规模分布式软件系统协同设计,并权衡数据中心规模系统的均衡性。
评估
在真实数据中心在线负载中评估,对比此前调优的非加速基线,能效提升 20–33 倍,并改善瓶颈适应与故障管理。
原文摘要(Abstract)

Video sharing (e.g., YouTube, Vimeo, Facebook, TikTok) accounts for the majority of internet traffic, and video processing is also foundational to several other key workloads (video conferencing, virtual/augmented reality, cloud gaming, video in Internet-of-Things devices, etc.). The importance of these workloads motivates larger video processing infrastructures and – with the slowing of Moore’s law – specialized hardware accelerators to deliver more computing at higher efficiencies. This paper describes the design and deployment, at scale, of a new accelerator targeted at warehouse-scale video transcoding. We present our hardware design including a new accelerator building block – the video coding unit (VCU) – and discuss key design trade-offs for balanced systems at data center scale and co-designing accelerators with large-scale distributed software systems. We evaluate these accelerators “in the wild" serving live data center jobs, demonstrating 20-33x improved efficiency over our prior well-tuned non-accelerated baseline. Our design also enables effective adaptation to changing bottlenecks and improved failure management, and new workload capabilities not otherwise possible with prior systems. To the best of our knowledge, this is the first work to discuss video acceleration at scale in large warehouse-scale environments.

链接与引用

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BibTeX
@inproceedings{paperbot6121,
  title = {Warehouse-scale video acceleration: co-design and deployment in the wild},
  author = {Parthasarathy Ranganathan and Daniel Stodolsky and Jeff Calow and Jeremy Dorfman and Marisabel Guevara and Clinton Wills Smullen IV and Aki Kuusela and Raghu Balasubramanian and Sandeep Bhatia and Prakash Chauhan and Anna Cheung and In Suk Chong and Niranjani Dasharathi and Jia Feng and Brian Fosco and Samuel Foss and Ben Gelb and Sara J. Gwin and Yoshiaki Hase and Da-ke He and C. Richard Ho and Roy W. Huffman Jr. and Elisha Indupalli and Indira Jayaram and Poonacha Kongetira and Cho Mon Kyaw and Aaron Laursen and Yuan Li and Fong Lou and Kyle A. Lucke and JP Maaninen and Ramon Macias and Maire Mahony and David Alexander Munday and Srikanth Muroor and Narayana Penukonda and Eric Perkins-Argueta and Devin Persaud and Alex Ramirez and Ville-Mikko Rautio and Yolanda Ripley and Amir Salek and Sathish Sekar and Sergey N. Sokolov and Rob Springer and Don Stark and Mercedes Tan and Mark S. Wachsler and Andrew C. Walton and David A. Wickeraad and Alvin Wijaya and Hon Kwan Wu},
  booktitle = {ASPLOS},
  year = {2021},
  doi = {10.1145/3445814.3446723}
}