Jaehoon Heo

15 papers A* 2A 2Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
23.10 HuMoniX: A 57.3fps 12.8TFLOPS/W Text-to-Motion Processor with Inter-Iteration Output Sparsity and Inter-Frame Joint Similarity.
ISSCC
Jaehoon Heo, Adiwena Putra, Sungwoong Yune, Jieon Yoon, Hangyeol Lee, Jihoon Kim, Joo-Young Kim
2025 J jnl
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits.
CoRR
Hyunjun Cho, Jaeho Jeon, Jaehoon Heo, Joo-Young Kim
2025 J jnl
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models.
CoRR
Jaehoon Heo, Adiwena Putra, Jieon Yoon, Sungwoong Yune, Hangyeol Lee, Ji-Hoon Kim, Joo-Young Kim
2025 A* conf
EXION: Exploiting Inter-and Intra-Iteration Output Sparsity for Diffusion Models.
HPCA
Jaehoon Heo, Adiwena Putra, Jieon Yoon, Sungwoong Yune, Hangyeol Lee, Ji-Hoon Kim, Joo-Young Kim
2025 J jnl
Hawkeye: A Point Cloud Neural Network Processor With Virtual Pillar and Quadtree-Based Workload Management for Real-Time Outdoor BEV Detection.
IEEE J. Solid State Circuits
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
2024 — conf
A 38.5TOPS/W Point Cloud Neural Network Processor with Virtual Pillar and Quadtree-based Workload Management for Real-Time Outdoor BEV Detection.
CICC
Sukbin Lim, Jaehoon Heo, Jinho Yang, Joo-Young Kim
2024 A conf
APINT: A Full-Stack Framework for Acceleration of Privacy-Preserving Inference of Transformers based on Garbled Circuits.
ICCAD
Hyunjun Cho, Jaeho Jeon, Jaehoon Heo, Joo-Young Kim
2024 A* conf
BLESS: Bandwidth and Locality Enhanced SMEM Seeding Acceleration for DNA Sequencing.
ISCA
Seunghee Han, Seungjae Moon, Teokkyu Suh, Jaehoon Heo, Joo-Young Kim
2024 J jnl
SP-PIM: A Super-Pipelined Processing-In-Memory Accelerator With Local Error Prediction for Area/Energy-Efficient On-Device Learning.
IEEE J. Solid State Circuits
Jaehoon Heo, Jung-Hoon Kim, Wontak Han, Jaeuk Kim, Joo-Young Kim
2023 A conf
PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads.
ICCAD
Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Jung-Hoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim
2023 — conf
SP-PIM: A 22.41TFLOPS/W, 8.81Epochs/Sec Super-Pipelined Processing-In-Memory Accelerator with Local Error Prediction for On-Device Learning.
VLSI Technology and Circuits
Jung-Hoon Kim, Jaehoon Heo, Wontak Han, Jaeuk Kim, Joo-Young Kim
2023 J jnl
T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training.
IEEE J. Solid State Circuits
Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, Joo-Young Kim
2022 J jnl
Design of Processing-in-Memory With Triple Computational Path and Sparsity Handling for Energy-Efficient DNN Training.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Wontak Han, Jaehoon Heo, Junsoo Kim, Sukbin Lim, Joo-Young Kim
2022 — conf
T-PIM: A 2.21-to-161.08TOPS/W Processing-In-Memory Accelerator for End-to-End On-Device Training.
CICC
Jaehoon Heo, Junsoo Kim, Wontak Han, Sukbin Lim, Joo-Young Kim
2021 J jnl
Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks.
IEEE J. Solid State Circuits
Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim