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Software-defined Design Space Exploration for an Efficient DNN Accelerator Architecture
It models the accelerator design task as a multi-dimensional optimization problem.
Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM
In this work, we propose a hardware-guided symbiotic training methodology for compact, accurate, yet execution-efficient inference models.
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