A Deep Learning Performance Lens for Low Precision Inference
Few companies have provided better insight into how they think about new hardware for large-scale deep learning than Chinese search giant, Baidu.
As we have detailed in the past, the company’s Silicon Valley Research Lab (SVAIL) in particular has been at the cutting edge of model development and hardware experimentation, some of which is evidenced in their publicly available (and open source) DeepBench deep learning benchmarking effort, which allowed users to test different kernels across various hardware devices for training.
Today, Baidu SVAIL extended DeepBench to include support for inference as well as expanded training kernels. Also of …
A Deep Learning Performance Lens for Low Precision Inference was written by Nicole Hemsoth at The Next Platform.
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