Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation. - Amir Yazdanbakhsh; Ashkan Moradifirouzabadi; Zheng Li; Mingu Kang (MICRO, 2022)

Efficient Transformer Acceleration via Reconfiguration for Encoder and Decoder Models and Sparsity-Aware Algorithm Mapping. - Chang Eun Song; Ashkan Moradifirouzabadi; Tajana Rosing; Mingu Kang (ISLPED, 2024)

An Analog and Digital Hybrid Attention Accelerator for Transformers with Charge-based In-memory Computing. - Ashkan Moradifirouzabadi; Dodla Divya Sri; Mingu Kang (CoRR, 2024)

SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis. - Keming Fan; Ashkan Moradifirouzabadi; Xiangjin Wu; Zheyu Li; Flavio Ponzina; Anton Persson; Eric Pop; Tajana Rosing; Mingu Kang (CoRR, 2024)

End-to-End Acceleration of Generative Models With Runtime Regularized KV Cache Management. - Ashkan Moradifirouzabadi; Mingu Kang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2025)