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About Powerai DDL: Minsik Cho, Ulrich Finkler, Sameer Kumar, David Kung, Vaibhav Saxena, Dheeraj Sreedhar Ibm Research
This document describes PowerAI DDL, a software-hardware co-optimized distributed deep learning system developed by IBM researchers. PowerAI DDL achieves near-linear scaling of deep learning training up to hundreds of GPUs using a multi-ring communication algorithm. It has been integrated into popular deep learning frameworks and can reduce training time from weeks to hours on large datasets and models. The researchers demonstrate training a Resnet-101 model on ImageNet 22K dataset to 33.8% validation accuracy using 256 GPUs in 7 hours, outperforming prior results from Microsoft and Google.
Detailed Information
| Author: | ['kglorstad'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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