News

We are thrilled to announce that our very own Professor Joo-Young Kim has recently been promoted to Associate Professor and has become a distinguished lecturer for the Solid-State Circuits Society (SSCS).link: https://lnkd.in/gek5jiV We are so proud to have such a talented and dedicated professor leading our lab, and we couldn’t be happier to share this exciting news with […]

Congratulations! We have a paper accepted to the International Conference on IEEE Transactions on Circuits and Systems I (TCAS-I), 2023. “Agamotto: A Performance Optimization Framework for CNN Accelerator with Row Stationary Dataflow” Donghyuk Kim, Sanghyun Jeong, and Joo-Young Kim

Congratulations!  We have a paper got a ‘Gold Prize’ to the 29th Samsung Humantech Paper Award. The Gold Award is a prize given only to the first-place winner in each division. “JNPU: A 1.04 TFLOPS Joint-DNN Training Processor with Speculative Quantization and Triple Heterogeneity” (research section: Circuit Design) Je Yang, Jae-Young Kim, Sukbin Lim, Sukjin […]

Hi Castlab. One new Ph.D student(Seungjae) and five new master’s students(Seri, Junyoung, Jinho, Jieon, Sungwoong) have joined Castlab since this 2023 spring semester. Seungjae, Seri, Junyoung, Jinho, Jieon, and Sungwoong are interested in a software-hardware co-design approach in AI accelerator and processing in/near memory. [Seungjae] “Hello, I’m Seungjae Yoo, a new Ph.D. student at CastLab. I’m delighted to […]

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

Congratulations! We have a paper accepted to IEEE Journal of Solid-State Circuits (JSSC), 2022. “T-PIM: An Energy-Efficient Processing-In-Memory Accelerator for End-to-End On-Device Training” Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, and Joo-Young Kim

Congratulations! 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

Congratulations! We have a paper accepted to the International Conference on Field Programmable Technology (FPT), 2022. “LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning” Je Yang, Jaeuk Kim and Joo-Young Kim

Congratulations! 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

Congratulations! We have a paper accepted to IEEE Asian Solid-State Circuits Conference (A-SSCC), 2022. “A 409.6 GOPS and 204.8 GFLOPS Mixed-Precision Vector Processor System for General-Purpose Machine Learning Acceleration” Jung-Hoon Kim, Sukjin Lee, Joo-Young Kim