PUBLICATONS

[4] C. E Song, et al., T. Rosing, M. Kang, "SLC-MLC Hybrid Analog Processing in Memory for Transformer Accelerator" (Under Review)

[3] H. Yang*, C. E. Song*, et al., M. Kang, and T. Rosing, “End-to-end Few-shot Learning Accelerator with Integrated Feature Extraction and Hyperdimensional Computing Classifier”, European Solid-State Electronics Research Conference (ESSERC), 2024 (* equal contribution) [Link]

[2] C. E. Song, et al., T. Rosing, and M. Kang, “Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder

Models and Sparsity-Aware Algorithm Mapping”, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2024 [Link]

[1] C. E. Song, et al., T. Rosing, and M. Kang, “52.5 TOPS/W 1.7GHz Reconfigurable XGBoost Inference Accelerator based on Modular-Unit-Tree with Dynamic Data and Compute Gating”, IEEE Custom Integrated Circuits Conference (CICC), 2024 [Link]