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07/06/2023
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload
Modern Deep Neural Networks (DNNs) exhibit profound efficiency and accur...
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07/25/2022
Energy-efficient DNN Inference on Approximate Accelerators Through Formal Property Exploration
Deep Neural Networks (DNNs) are being heavily utilized in modern applica...
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07/20/2021
Positive/Negative Approximate Multipliers for DNN Accelerators
Recent Deep Neural Networks (DNNs) managed to deliver superhuman accurac...
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03/08/2021
Reliability-Aware Quantization for Anti-Aging NPUs
Transistor aging is one of the major concerns that challenges designers ...
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02/18/2021