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20172026
most citedBlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows

124 citations · 388 across the 53 of their papers we have counts for

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10 papers · 1 filter

cs.CR2026

HULK: An Efficient Algorithm for Enabling Fast Bulk Bitwise Operations on Homomorphically Encrypted Data

Mayank Kabra, Phillip Widdowson, Harshita Gupta +9

A wide range of important cloud applications, e.g., database analytics, graph analytics, and genome analysis, spend a considerable amount of time performing bulk bitwise operations…

cs.AR2026

Terracotta: Enabling the Adoption of New DRAM Techniques via a Flexible DRAM Interface and Memory Controller

Harsh Songara, Konstantinos Kanellopoulos, F. Nisa Bostancı +6

DRAM continues to limit the performance, energy efficiency, and robustness of modern systems. Many prior works propose DRAM techniques that support in-DRAM computation, improve mem…

cs.AR2026

CertiFlash: A Formal Verification Framework for Flash Translation Layers in Computational Solid State Drives

Harshita Gupta, Mayank Kabra, Rakesh Nadig +10

Data-intensive applications move large amounts of data from storage to the compute unit, incurring significant data movement overhead. Storage-centric computing reduces this overhe…

cs.CR2026

ColumnKeeper: Efficient Solutions to the ColumnDisturb Vulnerability in DRAM-based Systems

Andreas Kosmas Kakolyris, F. Nisa Bostanci, Ataberk Olgun +7

Modern DRAM chips are vulnerable to read disturbance phenomena such as RowHammer and RowPress, which induce bitflips after accessing nearby rows a certain number of times (the read…

cs.AR2026

Clutch: High Performance Vector-Scalar Comparison using DRAM via Chunked Temporal Coding

Daichi Tokuda, Tatsuya Kubo, Ismail Emir Yuksel +8

Vector-scalar comparison is a fundamental computation primitive that compares each element in a vector against a single scalar value. It is widely used in various data-intensive wo…

cs.AR2026

DejaVu: Why You Should Write to Your DRAM Rows Twice, Carefully

Haocong Luo, İsmail Emir Yüksel, Ataberk Olgun +4

We provide the first experimental demonstration of DejaVu, a phenomenon where the data previously written to DRAM cells affects DRAM's vulnerability to read disturbance. Our experi…

cs.AR2026

PuDGhost: Experimental Analysis of Computation Result Corruption in Processing-using-DRAM Operations on Real DRAM Chips and Implications for Future Systems

Daichi Tokuda, İsmail Emir Yüksel, Tatsuya Kubo +7

Processing-using-DRAM (PuD) is a promising computation paradigm that alleviates frequent data movement between main memory and processing units by using each DRAM column as a compu…

cs.AR2026

A Modern Large-Scale Memory Characterization Laboratory

Ataberk Olgun, Haocong Luo, Ismail Emir Yuksel +3

Real memory chip characterization yields insights into fundamental operational characteristics of modern memory, enabling new mechanisms that improve memory performance, robustness…

cs.CR2026

ScaleDisturb: Exploiting Temporal Asymmetry to Amplify Read Disturbance in Modern DRAM Chips

Jikun Wang, Haocong Luo, Ataberk Olgun +6

DRAM suffers from read disturbance phenomena (e.g., RowHammer and RowPress), where repeatedly accessing or continuously keeping open a DRAM row (aggressor row) induces bitflips in…

cs.AR2026

DiscoRD: An Experimental Methodology for Quickly Discovering the Reliable Read Disturbance Threshold of Real DRAM Chips

Ataberk Olgun, F. Nisa Bostanci, Ismail Emir Yuksel +4

State-of-the-art DRAM read disturbance mitigations rely on the read disturbance threshold (RDT) (e.g., the number of aggressor row activations needed to induce the first read distu…