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UID:dac_DAC 2026_sess315_RESEARCH1275@linklings.com
SUMMARY:TRAC: Transparent Row Activation Counting for Efficient RowHammer 
 Monitoring
DESCRIPTION:Sunggi Ahn (Sungkyunkwan University), Saeid Gorgin (SKKU), and
  Jungrae Kim (Sungkyunkwan University)\n\nRowHammer is one of the most cri
 tical security threats in modern DRAM. The industry has introduced Per-Row
  Activation Counting (PRAC) to monitor activations, but this approach degr
 ades performance by lengthening critical DRAM timing parameters. We propos
 e TRAC (Transparent Row Activation Counting), a lightweight monitoring arc
 hitecture that eliminates these drawbacks. TRAC leverages ACT-triggered up
 date, robust in-subarray processing, and a Linear Feedback Shift Register 
 (LFSR)-based counter to track activations transparently, without introduci
 ng timing overhead. Circuit-level simulations and system-level evaluations
  demonstrate TRAC's correctness, stability, and negligible area cost, esta
 blishing it as a practical and scalable defense against RowHammer.\n\nTopi
 cs: Quantum\n\nTrack: DES6. Quantum Computing, Systems\n\nSession Chairs: 
 Hokeun Kim (Arizona State University); BaekGyu Kim (Daegu Gyeongbuk Instit
 ute of Science and Technology); Xiang Chen (Peking University); Sangyeob K
 im (Yonsei University); Robert M. Radway (University of Pennsylvania); Pra
 shanth Mohan (University of Pittsburgh); Xiaoxuan Yang (University of Virg
 inia, Stanford University); Ramtin Zand (University of South Carolina); Ha
 di Kamali (University of Central Florida); Jiafeng Xie (Villanova Universi
 ty); Prabuddha Chakraborty (University of Maine); Junichiro Kadomoto (Univ
 ersity of Tokyo); and Yosuke Ueno (RIKEN)\n\n
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