News

Congratulations! 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 […]

Congratulations! We have a paper accepted to IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022. “DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation” Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, Minsub Kim, Dongsoo Lee, Joo-Young Kim

Congratulations! We have 3 papers accepted to Symposium on High Performance Chips (HotChips), 2022. “Trinity: End-to-End In-Database Near-Data Machine Learning Acceleration Platform for Advanced Data Analytics” Ji-Hoon Kim, Seunghee Han, Kwanghyun Park, Soo-Young Ji, and Joo-Young Kim “DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation” Seongmin Hong, Seungjae Moon, Junsoo Kim, Sungjae Lee, […]

Congratulations! We have a paper accepted to IEEE International Conference on Field Programmable Logic and Applications (FPL), 2022. “FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure” Yashael Faith Arthanto, David Ojika, Joo-Young Kim

Congratulations! We have a paper accepted to IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2022. “Design of Processing-in-Memory with Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training” Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, Joo-Young Kim

Congratulations! We have a paper accepted to IEEE 30th annual international symposium on Field-Programmable Custom Computing Machines(FCCM), 2022. “A Dual-Mode Similarity Search Accelerator based on Embedding Compression for Online Cross-Modal Image-Text Retrieval” Yeo-Reum Park, Ji-Hoon Kim, Jaeyoung Do, Joo-Young Kim “An Open-Source Shell Generation Framework for High-Performance Design on Multi-Die FPGAs” Gyeongcheol Shin, Junsoo Kim, […]

Congratulations! We have a paper accepted to IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2022. “An Overview of Processing-in-Memory Circuits for Artificial Intelligence and Machine Learning” Donghyuk Kim, Chengshuo Yu, Shanshan Xie, Yuzong Chen, Joo-Young Kim, Bongjin Kim, Jaydeep Kulkarni, Tony Tae-Hyoung Kim

Congratulations! We have a paper accepted to IEEE Transactions on Computers (TC), 2022. “Accelerating Large-Scale Graph-based Nearest Neighbor Search on a Computational Storage Platform” Ji-Hoon Kim, Yeo-Reum Park, Jaeyoung Do, Soo-Young Ji, and Joo-Young Kim

Hi Castlab. Four new master’s students(Jaeyoung, Sukjin, Geonwoo, and Seunghee) have joined Castlab since this 2022 spring semester. Jaeyoung, Sukjin, Geonwoo, and Seunghee are interested in a software-hardware co-design approach in AI accelerator and processing in/near memory. [Jaeyoung]  “Hello, I’m Jaeyoung Kim, a freshman of KAIST Castlab. I joined in Castlab because I was interested […]

Congratulations! We have a paper accepted to IEEE Custom Integrated Circuits Conference (CICC), 2022. “T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training” Jaehoon Heo, Junsoo Kim, Wontak Han, Sukbin Lim, Joo-Young Kim