12 citations · 19 across the 6 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
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.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…