Jaehoon Heo
Ph.D. Student
Research Interest
- AI Chip, Memory-Centric Computing (for big data systems, artificial intelligence systems)
Publication
Conference Papers
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models
Jaehoon Heo, Adiwena Putra, Jieon Yoon, Sungwoong Yune, Hangyeol Lee, Jihoon Kim, Joo-Young Kim
IEEE International Symposium on High-Performance Computer Architecture (HPCA) 2025
HuMoniX: A 57.3 fps 12.8 TFLOPS/W Text-to-Motion Processor with Inter-Iteration Output Sparsity and Inter-Frame Joint Similarity
Jaehoon Heo, Adiwena Putra, Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Jihoon Kim, and Joo-Young Kim
IEEE International Solid-State Circuits Conference (ISSCC) 2025
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
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023
SP-PIM: A 22.41TFLOPS/W, 8.81Epochs/Sec Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for On-Device Learning
*Jung-Hoon Kim, *Jaehoon Heo, Wontak Han, Jaeuk Kim and Joo-Young Kim (*equal contribution)
IEEE Symposium on VLSI Circuits (VLSI), 2023
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
IEEE Custom Integrated Circuits Conference (CICC) 2022
Journal Papers
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)
IEEE Journal of Solid-State Circuits (JSSC), 2024
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
IEEE Journal of Solid-State Circuits (JSSC), 2022