52 citations · 60 across the 3 of their papers we have counts for
3 papers
cs.DC2026
PIM-SHERPA: Software Method for On-device LLM Inference by Resolving PIM Memory Attribute and Layout Inconsistencies
Sunjung Lee, Sanghoon Cha, Hyeonsu Kim +8
On-device deployments of large language models (LLMs) are rapidly proliferating across mobile and edge platforms. LLM inference comprises a compute-intensive prefill phase and a me…
cs.CV2018★ 52 cited
Restructuring Batch Normalization to Accelerate CNN Training
Wonkyung Jung, Daejin Jung, and Byeongho Kim +3
Batch Normalization (BN) has become a core design block of modern Convolutional Neural Networks (CNNs). A typical modern CNN has a large number of BN layers in its lean and deep ar…
cs.DC2018★ 8 cited
Partitioning Compute Units in CNN Acceleration for Statistical Memory Traffic Shaping
Daejin Jung, Sunjung Lee, Wonjong Rhee +1
The design complexity of CNNs has been steadily increasing to improve accuracy. To cope with the massive amount of computation needed for such complex CNNs, the latest solutions ut…