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GTC ON-DEMAND

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Abstract:
We'll discuss Alibaba's PAI tensor accelerator and optimizer (PAI-Tao), an elaborately implemented and optimized AI engine for deep learning training and inference tasks. PAI-Tao is designed with a data-driven and compiler-oriented approach. It periodically collects online running statistics to provide insights for optimization and uses collected statistics to help drive the real optimization work. We'll outline how PAI-Tao's compiler-oriented design can better accommodate diversified and fast-changing AI workloads.
We'll discuss Alibaba's PAI tensor accelerator and optimizer (PAI-Tao), an elaborately implemented and optimized AI engine for deep learning training and inference tasks. PAI-Tao is designed with a data-driven and compiler-oriented approach. It periodically collects online running statistics to provide insights for optimization and uses collected statistics to help drive the real optimization work. We'll outline how PAI-Tao's compiler-oriented design can better accommodate diversified and fast-changing AI workloads.  Back
 
Topics:
AI & Deep Learning Research, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9280
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