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Dr. Vimal Reddy

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Proceedings Article | 1 August 2021 Presentation + Paper

An extensible framework for video ASIC development and validation at Facebook scale

Zafar Shahid, Gaurang Chaudhari, Vimal Reddy, Jinghan Yang

Proceedings Volume 11842, 118421M (2021) https://doi.org/10.1117/12.2594309

KEYWORDS: Video compression, Video coding

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Video consumption across social platforms has increased at a rapid pace. Video processing is a compute-heavy workload, and domain-specific accelerators (ASICs) allow more efficient scaling than general purpose CPUs. One of the challenges for video ASIC adoption is that videos ingested in datacenters are user-generated content and have a long-tail distribution of uncommon features. Software stack can handle the outliers gracefully, but these uncommon features may pose a challenge for the ASIC with undesirable effects for the unsupported/unhandled end cases. To avoid undesirable effects in the production, it is critical to proof our system against the long-tail conditions early in the product cycle of the ASIC development. Similarly, critical signals like BD-rate quality and outlier detection are needed from production traffic early in the product cycle. To address these needs, we propose an extensible framework that allows a continuous development strategy using production traffic, through progressive evaluation in various product phases of the video ASIC development cycle. A similar framework would benefit other ASIC accelerator programs in reducing time to deploy on large-scale platforms.

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