“Is Your AI Data Pre-processing Fast Enough? Speed It Up Using rocAL,” a Presentation from AMD

Rajy Rawther, PMTS Software Architect at AMD, presents the “Is Your AI Data Pre-processing Fast Enough? Speed It Up Using rocAL” tutorial at the May 2022 Embedded Vision Summit.

AMD’s rocAL (ROCm Augmentation Library) is an open-source library for decoding and augmenting images, video and audio to accelerate the loading and preprocessing of data for machine learning applications. In this talk, Rawther presents key components of the data loading path and shows how to efficiently combine them to get the most performance for your machine learning workload.

With rocAL, you can create flexible hybrid pipelines that can be executed on a CPU or GPU for load balancing. After introducing rocAL and its key features, Rawther dives deep into some use cases focused on training DNNs for MLPerf benchmarks. You’ll learn how rocAL can significantly speed up your data loading pipeline for both training and inference.

See here for a PDF of the slides.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.



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