6 citations · 8 across the 3 of their papers we have counts for
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cs.AR2025
RoMe: Row Granularity Access Memory System for Large Language Models
Hwayong Nam, Seungmin Baek, Jumin Kim +2
Modern HBM-based memory systems have evolved over generations while retaining cache line granularity accesses. Preserving this fine granularity necessitated the introduction of ban…
cs.AR2025★ 2 cited
SSD Offloading for LLM Mixture-of-Experts Weights Considered Harmful in Energy Efficiency
Kwanhee Kyung, Sungmin Yun, Jung Ho Ahn
Large Language Models (LLMs) applying Mixture-of-Experts (MoE) scale to trillions of parameters but require vast memory, motivating a line of research to offload expert weights fro…
cs.AR2025★ 6 cited
Per-Row Activation Counting on Real Hardware: Demystifying Performance Overheads
Jumin Kim, Seungmin Baek, Minbok Wi +5
Per-Row Activation Counting (PRAC), a DRAM read disturbance mitigation method, modifies key DRAM timing parameters, reportedly causing significant performance overheads in simulato…