News

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

Hi 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 […]

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, […]