McDRAM v2: In-Dynamic Random Access Memory Systolic Array Accelerator to Address the Large Model Problem in Deep Neural Networks on the Edge von Cho, Seunghwan, Choi, Haerang, Park, Eunhyeok, Shin, Hyunsung, Yoo, Sungjoo

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Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs von Ham, Hyungkyu, Cho, Hyunuk, Kim, Minjae, Park, Jueon, Hong, Jeongmin, Sung, Hyojin, Park, Eunhyeok, Lim, Euicheol, Kim, Gwangsun

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PROFIT: A Novel Training Method for sub-4-bit MobileNet Models von Park, Eunhyeok, Yoo, Sungjoo

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McDRAM: Low Latency and Energy-Efficient Matrix Computations in DRAM von Shin, Hyunsung, Kim, Dongyoung, Park, Eunhyeok, Park, Sungho, Park, Yongsik, Yoo, Sungjoo

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Fast Performance Prediction for Efficient Distributed DNN Training von Yun, Yugyoung, Park, Eunhyeok

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Value-Aware Quantization for Training and Inference of Neural Networks von Park, Eunhyeok, Yoo, Sungjoo, Vajda, Peter

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Symmetry Regularization and Saturating Nonlinearity for Robust Quantization von Park, Sein, Jang, Yeongsang, Park, Eunhyeok

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Near-Data Processing in Memory Expander for DNN Acceleration on GPUs von Ham, Hyungkyu, Cho, Hyunuk, Kim, Minjae, Park, Jueon, Hong, Jeongmin, Sung, Hyojin, Park, Eunhyeok, Lim, Euicheol, Kim, Gwangsun

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HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization von Kim, Seonggon, Park, Eunhyeok

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BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks von Kim, Han-Byul, Park, Eunhyeok, Yoo, Sungjoo

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FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models von So, Junhyuk, Lee, Jungwon, Park, Eunhyeok

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PROFIT: A Novel Training Method for sub-4-bit MobileNet Models von Park, Eunhyeok, Yoo, Sungjoo

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LEARNING METHOD FOR ENHANCING ROBUSTNESS OF A NEURAL NETWORK von PARK, Sein, PARK, Eunhyeok

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COMPUTATION CIRCUIT CAPABLE OF REDUCING QUANTIZATION ERROR von PARK, Sein, Park, Eunhyeok

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HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization von Kim, Seonggon, Park, Eunhyeok

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SEAL: Scaling to Emphasize Attention for Long-Context Retrieval von Lee, Changhun, Jin, Jun-gyu, Cho, Younghyun, Park, Eunhyeok

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PTQ4VM: Post-Training Quantization for Visual Mamba von Cho, Younghyun, Lee, Changhun, Kim, Seonggon, Park, Eunhyeok

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QEFT: Quantization for Efficient Fine-Tuning of LLMs von Lee, Changhun, Jin, Jun-gyu, Cho, Younghyun, Park, Eunhyeok

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Symmetry Regularization and Saturating Nonlinearity for Robust Quantization von Park, Sein, Jang, Yeongsang, Park, Eunhyeok

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Diffusion Model Compression for Image-to-Image Translation von Kim, Geonung, Kim, Beomsu, Park, Eunhyeok, Cho, Sunghyun

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