Congratulations! We have a paper accepted to IEEE Custom Integrated Circuits Conference (CICC), 2023 ” A 26.55TOPS/W Explainable AI Processor with Dynamic Workload Allocation and Heat Map Compression/Pruning ” Junsoo Kim, Geonwoo Ko, Ji-Hoon Kim, Changha Lee, Taewoo Kim, Chan-Hyun Yoon, Joo-Young Kim
Read MoreCongratulations! Our professor Joo-Young Kim awards Minister’s Award from MSIT at the 2022 Future AI Semiconductor Technology Conference. Professor Joo-Young Kim was recognized for contributing to the artificial intelligence semiconductor industry. He works within the field, including the national research and development of AI processors and PIM semiconductor technologies, as well as fostering future semiconductor […]
Read MoreCongratulations! Artificial Intelligence Semiconductor System Research Center (AISS), the research center led by our professor Joo-Young Kim awards Minister’s Award from MSIT. Since 2020, AISS has developed AI semiconductor technology for the future AI society, dedicating efforts to nurturing talented people from various angles. In recognition of its outstanding talent cultivation performance, professor Joo-Young Kim, […]
Read MoreCongratulations! We have a paper accepted to IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2023. “LightTrader: A Standalone AI-enabled High-Frequency Trading System with 16 TFLOPS / 64 TOPS Deep Learning Inference Accelerators” Sungyeob Yoo, Hyunsung Kim, Jinseok Kim, Sunghyun Park, Joo-Young Kim, and Jinwook Oh
Read MoreCongratulations! We have a paper accepted to the International Conference on IEEE Transactions on Circuits and Systems I (TCAS-I), 2022. “Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform” Prasetiyo, Seongmin Hong, Yashael Faith Arthanto, and Joo-Yong Kim
Read MoreHi Castlab. Three new master’s students(Yi, Hyunjun, and Junseo) have joined Castlab since this 2022 fall semester. Yi, Hyunjun, and Junseo are interested in a software-hardware co-design approach in AI accelerator and processing in/near memory. [Yi] “Hello, I’m Yi Chen, a new M.S. student at CastLab, KAIST. I am delighted to join Castlab since I […]
Read MoreCongratulations! We publish the book “Processing-in-Memory for AI: From Circuits to Systems” This book is the first book that describes the PIM technology thoroughly, from architectures to circuits for major memory types (SRAM, DRAM, and ReRAM). Prof. Joo-Young Kim co-authored/co-edited with Prof. Bongjin Kim at UCSB and Prof. Tony Tae-Hyoung Kim at NTU. His students […]
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