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About S8906: Fast Data Pipelines For Deep Learning Training: Przemek Tredak, Simon Layton
This document discusses the CPU bottleneck in deep learning training and proposes a solution called DALI to optimize data pipelines. DALI aims to centralize efforts to build efficient data pipelines, integrate into all frameworks, and provide both flexibility and high performance. It describes DALI's architecture with GPU-optimized primitives and a pipeline that processes data from disk through decoding, augmentation and onto the GPU in a batched fashion. DALI seeks to set data free across frameworks and file formats for faster, more flexible deep learning training.
Detailed Information
| Author: | ['Ryan Bloxham'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 41 |
| Language: | English |
| Format: | |
| Price: | FREE |
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