Jaehoon Heo

According to our database, Jaehoon Heo authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

T-PIM: An Energy-Efficient Processing-in-Memory Accelerator for End-to-End On-Device Training.

Jaehoon Heo, Junsoo Kim, Sukbin Lim, Wontak Han, Joo-Young Kim

IEEE J. Solid State Circuits, March, 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, Joo-Young Kim

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

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, Joo-Young Kim

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

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

IEEE J. Emerg. Sel. Topics Circuits Syst., 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

Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021

Z-PIM: A Sparsity-Aware Processing-in-Memory Architecture With Fully Variable Weight Bit-Precision for Energy-Efficient Deep Neural Networks.

Ji-Hoon Kim, Juhyoung Lee, Jinsu Lee, Jaehoon Heo, Joo-Young Kim

IEEE J. Solid State Circuits, 2021