180 citations · 509 across the 9 of their papers we have counts for
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cs.AR2025
Rethinking LLM Inference Bottlenecks: Insights from Latent Attention and Mixture-of-Experts
Sungmin Yun, Seonyong Park, Hwayong Nam +10
Computational workloads composing traditional transformer models are starkly bifurcated. Multi-Head Attention (MHA) and Grouped-Query Attention are memory-bound due to low arithmet…
cs.AR2023
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure
Sangpyo Kim, Jongmin Kim, Jaeyoung Choi +1
Fully homomorphic encryption (FHE) is in the spotlight as a definitive solution for privacy, but the high computational overhead of FHE poses a challenge to its practical adoption.…