Chang Eun Song

According to our database, Chang Eun Song authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Energy-Efficient Reconfigurable XGBoost Inference Accelerator With Modular Unit Trees via Selective Node Execution and Data Movement.

Chang Eun Song, Yidong Li, Amardeep Ramnani, Pulkit Agrawal, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang

IEEE J. Solid State Circuits, May, 2026

NOVA-PIM: Noise-Aware Hyperdimensional Processing in Memory with Optimized Vector Allocation and Minimal ADCs.

Keming Fan, Chang Eun Song, Xuan Wang, Tajana Rosing, Mingu Kang

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

A 4D Radar Accelerator with Adaptive Sparse Processing for Real-Time Object Detection.

Sung Eun Kim, Chang Eun Song, Byeonggon Kang, Maria Sojan, Omkar Sathe, Tajana Rosing, Mingu Kang

Proceedings of the IEEE Custom Integrated Circuits Conference, 2026

2025

FSL-HDnn: A 40 nm Few-shot On-Device Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing.

Weihong Xu, Chang Eun Song, Haichao Yang, Leo Liu, Meng-Fan Chang, Carlos H. Diaz, Tajana Rosing, Mingu Kang

CoRR, December, 2025

Clo-HDnn: A 4.66 TFLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-efficient Hyperdimensional Computing via Progressive Search.

Chang Eun Song, Weihong Xu, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Kerem Akarvardar, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, Mingu Kang

CoRR, July, 2025

Hybrid SLC-MLC RRAM Mixed-Signal Processing-in-Memory Architecture for Transformer Acceleration via Gradient Redistribution.

Chang Eun Song, Priyansh Bhatnagar, Zihan Xia, Nam Sung Kim, Tajana Rosing, Mingu Kang

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Clo-HDnn: Continual On-Device Learning Accelerator with Hyperdimensional Computing via Progressive Search.

Chang Eun Song, Weihong Xu, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, Mingu Kang

Proceedings of the IEEE Hot Chips 37 Symposium, 2025

2024

FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing.

Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, Tajana Rosing

CoRR, 2024

Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping.

Chang Eun Song, Ashkan Moradifirouzabadi, Tajana Rosing, Mingu Kang

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator Based on Modular-Unit-Tree with Dynamic Data and Compute Gating.

Chang Eun Song, Yidong Li, Amardeep Ramnani, Pulkit Agrawal, Purvi Agrawal, Sung-Joon Jang, Sang-Seol Lee, Tajana Rosing, Mingu Kang

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024