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Congratulations! We have a paper accepted to 58th IEEE Design Automation Conference (DAC), 2021. “FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism” Je Yang, Seongmin Hong, and Joo-Young Kim https://arxiv.org/abs/2102.12103

Congratulations! We have a paper accepted to IEEE Journal of Solid-State Circuits(JSSC), 2021. “Z-PIM: A Sparsity-Aware Processing-In-Memory Architecture with Fully-Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks” Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim https://ieeexplore.ieee.org/document/9337169

Congratulations! We have a paper accepted to IEEE Symposium on VLSI Circuits, 2020. “Z-PIM: An Energy-Efficient Sparsity-Aware Processing-In-Memory Architecture with Fully-Variable Weight Precision” Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Hoi-jun Yoo, Joo-Young Kim https://ieeexplore.ieee.org/document/9163015