Efficient and Scalable Read Disturbance Mitigation - Research Summary by Giray Yaglikci at HOST 2024

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Enabling Efficient and Scalable DRAM Read Disturbance Mitigation via New Experimental Insights into Modern DRAM Chips

Blinded live talk about Giray's PhD research in the final round of PhD Dissertation Competition as part of HOST 2024.

Date: May 8, 2024

Papers covered:
- Orosa, Yağlıkçı, et al., "A Deeper Look into RowHammer’s Sensitivities: Experimental Analysis of Real DRAM Chips and Implications on Future Attacks and Defenses," in MICRO, 2021.

- Yağlıkçı, et al., "Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices," in DSN, 2022.

- Yağlıkçı, et al., "Spatial Variation-Aware Read Disturbance Defenses: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions" in HPCA, 2024.

- Yağlıkçı, et al., "HiRA: Hidden Row Activation for Reducing Refresh Latency of Off-the-Shelf DRAM Chips," in MICRO, 2022.

- Yağlıkçı, et al., "BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows," in HPCA, 2021.

Recommended Reading:
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A Modern Primer on Processing in Memory

Intelligent Architectures for Intelligent Computing Systems

RowHammer: A Retrospective

Fundamentally Understanding and Solving RowHammer

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