Deep Neural Network

VECOM: Variation-Resilient Encoding and Offset Compensation Schemes for Reliable ReRAM-Based DNN Accelerator
Resistive Random-Access Memory (ReRAM)-based Processing In-Memory (PIM) Accelerator has emerged as a promising computing architecture …
Je-Woo Jang, Thai-Hoang Nguyen, Joon-Sung Yang
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Enhancing the Robustness of eNVMs-Based DNNs using Low-Cost and Efficient Hardware
This work is expected to appear in DAC'23 Ph.D Forum
Emerging Non-Volatile Memories (eNVMs) have been demonstrated as promising …
Thai-Hoang Nguyen, Joon-Sung Yang
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DynaPAT: A Dynamic Pattern-Aware Encoding Technique for Robust MLC PCM-Based Deep Neural Networks
As the effectiveness of Deep Neural Networks (DNNs) is rising over time, so is the need for highly scalable and efficient hardware …
Thai-Hoang Nguyen, Muhammad Imran, Joon-Sung Yang
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Low-Cost and Effective Fault-Tolerance Enhancement Techniques for Emerging Memories-Based Deep Neural Networks
Deep Neural Networks (DNNs) have been found to outperform conventional programming approaches in several applications such as computer …
Thai-Hoang Nguyen, Muhammad Imran, Jaehyuk Choi, Joon-Sung Yang
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