News

[JSSC 2024] Jaehoon Heo and Junghoon Kim’s paper on SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for Area/Energy-Efficient On-Device Learning is accepted

Congratulations! We have a paper accepted to IEEE Journal of Solid-State Circuits (JSSC), 2024 “SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for Area/Energy-Efficient On-Device Learning” *Jaehoon Heo, *Jung-Hoon Kim, Wontak Han, Jaeuk Kim and Joo-Young Kim (*equal contribution)

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[IEEE Custom Integrated Circuits Conference (CICC), 2024] Sukbin Lim’s paper on A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection is accepted

Congratulations! We have a paper accepted to IEEE Custom Integrated Circuits Conference (CICC), 2024 “A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection” Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim

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[IEEE Journal of Solid-State Circuits (JSSC), 2024] Junsoo Kim’s paper on EPU: An Energy-Efficient Explainable AI Accelerator with Sparsity-free Computation and Heat Map Compression/Pruning is accepted

Congratulations! We have a paper accepted to Journal of Solid-State Circuits (JSSC), 2024 “EPU: An Energy-Efficient Explainable AI Accelerator with Sparsity-free Computation and Heat Map Compression/Pruning” Junsoo Kim, Seunghee Han, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Youn, and Joo-Young Kim

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[IEEE/ACM International Conference on Computer-Aided Design 2023] Jaehoon Heo’s paper on Processing-in-DRAM Emulation Framework is accepted

Congratulations! We have a paper accepted to IEEE/ACM International Conference on Computer-Aided Design, 2023 “PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads” Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, and Joo-Young Kim

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