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DTSTAMP:20260730T152640Z
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UID:dac_DAC 2026_sess306_WIP3287@linklings.com
SUMMARY:PRAC-Auto: A Flexible and Efficient Framework for PRAC-Based RowHa
 mmer Mitigation
DESCRIPTION:Seomgim Jeong (Sungkyunkwan University); Sunggi Ahn (Sungkyunk
 wan University, Samsung Institute of Technology); Saeid Gorgin (SKKU); and
  Jungrae Kim (Sungkyunkwan University)\n\nRowHammer (RH) remains a leading
  security threat in modern DRAM. Industry has standardized Per-Row Activat
 ion Counting (PRAC) for monitoring and Alert Back-Off (ABO) for mitigation
 , but ABO's pulse-only ALERT_n exposes little about which rows are at risk
  or how far recovery has progressed. Lacking actionable state, memory cont
 rollers fall back to coarse, pessimistic mitigation producing substantial 
 performance loss. This paper presents PRAC-Auto, a practical, pin-compatib
 le replacement for ABO that enables accurate, flexible, and efficient in-D
 RAM RH mitigation in PRAC-based systems. PRAC-Auto converts the standard A
 LERT_n into a lightweight handshake and introduces a subarray-status regis
 ter read command, allowing the controller to discover which subarrays are 
 affected and to track mitigation progress. With this finer-grained, progre
 ss-aware visibility, the controller continues serving requests to unaffect
 ed subarrays while the device autonomously refreshes only the vulnerable r
 egions. Moreover, the autonomous mitigation can be extended or reduced via
  the handshake to reflect new traffic, improving security against adaptive
  performance attacks. Our evaluation demonstrates that PRAC-Auto nearly el
 iminates RH-mitigation performance overhead while providing robust protect
 ion.\n\nTrack: Student\n\n
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