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20212026
most citedTuRaN: True Random Number Generation Using Supply Voltage Underscaling in SRAMs

2 citations · 4 across the 12 of their papers we have counts for

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cs.AR2026

Understanding the Power Consumption of Modern High Bandwidth Memory: Experimental Analysis and Modeling Using Real HBM2 DRAM Chips

Ataberk Olgun, Spiros Galanopoulos, Andreas Kosmas Kakolyris +4

We perform the first comprehensive experimental characterization of power consumed by real HBM2 DRAM chips. Our extensive characterization yields 1) the empirical basis for develop…

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

Demystifying DRAM Read Disturbance: Bridging the Gap Between Experimental Characterization and Device-Level Modeling of RowHammer and RowPress Phenomena

Haocong Luo, Longda Zhou, Ataberk Olgun +5

DRAM read disturbance, like RowHammer and RowPress, is a critical robustness issue where accessing DRAM can cause unintended bitflips in other unaccessed DRAM locations. DRAM read…

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.AR2025

Harmonia: Enhancing Data Placement and Migration in Hybrid Storage Systems via Multi-Agent Reinforcement Learning

Rakesh Nadig, Vamanan Arulchelvan, Rahul Bera +7

Modern high-performance computing (HPC) environments rely on hybrid storage systems (HSS) that combine multiple storage devices with diverse latency, bandwidth, endurance, and capa…

cs.AR2025

Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions

Yahya Can Tuğrul, A. Giray Yağlıkçı, İsmail Emir Yüksel +6

RowHammer is a major read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in physically nearby DRAM rows (victi…

cs.AR2024★ 1 cited

An Experimental Characterization of Combined RowHammer and RowPress Read Disturbance in Modern DRAM Chips

Haocong Luo, Ismail Emir Yüksel, Ataberk Olgun +3

DRAM read disturbance can break memory isolation, a fundamental property to ensure system robustness (i.e., reliability, security, safety). RowHammer and RowPress are two different…

cs.AR2024★ 1 cited

Functionally-Complete Boolean Logic in Real DRAM Chips: Experimental Characterization and Analysis

Ismail Emir Yuksel, Yahya Can Tugrul, Ataberk Olgun +7

Processing-using-DRAM (PuD) is an emerging paradigm that leverages the analog operational properties of DRAM circuitry to enable massively parallel in-DRAM computation. PuD has the…

cs.AR2022★ 2 cited

TuRaN: True Random Number Generation Using Supply Voltage Underscaling in SRAMs

İsmail Emir Yüksel, Ataberk Olgun, Behzad Salami +6

Prior works propose SRAM-based TRNGs that extract entropy from SRAM arrays. SRAM arrays are widely used in a majority of specialized or general-purpose chips that perform the compu…

cs.AR2021

MoRS: An Approximate Fault Modelling Framework for Reduced-Voltage SRAMs

İsmail Emir Yüksel, Behzad Salami, Oğuz Ergin +2

On-chip memory (usually based on Static RAMs-SRAMs) are crucial components for various computing devices including heterogeneous devices, e.g., GPUs, FPGAs, ASICs to achieve high p…