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03/09/2021
DISC: A Dynamic Shape Compiler for Machine Learning Workloads
Many recent machine learning models show dynamic shape characteristics. ...
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07/08/2020
Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
The last decade has witnessed growth in the computational requirements f...
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07/02/2020
DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
It is a challenging task to train large DNN models on sophisticated GPU ...
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05/31/2020