Shimeng Yu
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This paper presents a cross-platform survey of accelerators for open modification search in mass spectrometry, identifying memory- and storage-centric architectures as a key breakthrough for large-scale, high-speed search acceleration.
This paper investigates the energy efficiency of Large Language Model (LLM) serving using emerging memory technologies, specifically monolithic 3D (M3D) integration, and presents simulation results showing significant energy savings.
Papers
LLMET: Enabling Cross-Layer Evaluation of Emerging M3D Memories for Energy-Efficient LLM Serving
Ming-Yen Lee, Hanchen Yang, Faaiq Waqar, Harsono Simka +3 more
This paper investigates the energy efficiency of Large Language Model (LLM) serving using emerging memory technologies, specifically monolithic 3D (M3D) integration, and presents simulation results sh…