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20 results for “Understanding of DRAM concepts”

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cs.ARcs.PFEmpiricalRecentJun 12, 2026

Extended Abstract: Re-Evaluating the Real-System Modeling Accuracy of Ramulator 2.0

F. Nisa Bostanci, Haocong Luo, Ataberk Olgun, Maria Makeenkova +3 more

The authors of Ramulator 2.0 simulator challenge the claims made in a research paper about its performance and propose best practices to avoid simulator usage errors.

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cs.CRRecentMar 19, 2026

Quantifying Memory Cells Vulnerability for DRAM Security

Zilong Hu, Hongming Fei, Prosanta Gope, Jack Miskelly +2 more

The paper introduces a quantitative, cell-level circuit framework to model DRAM vulnerability by linking physical charge leakage and disturbance pathways to system-level security properties like volat…

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cs.AREmpiricalRecentJun 11, 2026

Ramulator 2.1: A Composable Memory System Simulator for Modern DRAM Systems

Haocong Luo, F. Nisa Bostancı, Ataberk Olgun, Maria Makeenkova +3 more

Ramulator 2.1 is an updated DRAM simulator with improved support for modern features, better usability, and comprehensive testing.

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cs.ITcs.AREmpiricalRecentJul 17, 2026

Reducing Power Consumption of Embedded Dynamic Memories with ECCs

Wenqing Song, Yifei Shen, Andreas Burg

This paper proposes a method for selecting optimal error-correction codes (ECCs) for gain-cell embedded dynamic random-access memory (GCRAM) to minimize power consumption under a yield constraint.

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cs.ARcs.ETEmpiricalRecentJun 30, 2026

In-situ Indexing via Memristive Content-Addressable Memory

Bing Wu, Xueliang Wei, Shiyi Song, Yibo Liu +5 more

The paper introduces PATH, an in-situ indexing architecture for Processing-in-Memory systems that achieves higher throughput, lower tail latency, and fewer memory accesses than state-of-the-art scheme…

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cs.AREmpiricalRecentJul 13, 2026

Reliable Associative Lookup in Content-Addressable Memory

Fan Li, Yanan Guo, Xin Xin

This paper introduces a new protection code design for Content Addressable Memory (CAM) to ensure reliability.

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cs.CRcs.ARRecentApr 22, 2026

PVAC: A RowHammer Mitigation Architecture Exploiting Per-victim-row Counting

Jumin Kim, Seungmin Baek, Hwayong Nam, Minbok Wi +2 more

The paper introduces PVAC, a novel victim-based row counting mechanism that accurately tracks RowHammer attacks by incrementing counters on the victim row, thereby improving hammering tolerance and pe…

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cs.CRcs.ARcs.DCRecentMay 19, 2026

Taking Cryptography Out of the Data Path via Near-Memory Processing in DRAM

Nicola Barcarolo, Brahmaiah Gandham, Mohammad Sadrosadati, Roberto Passerone +2 more

This paper investigates the potential of real-world Processing-in-Memory (PIM) architectures, specifically using UPMEM, to accelerate cryptographic algorithms, demonstrating that distributing computat…

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cs.CRRecentMay 17, 2026

Loaded Dice: Solving the Non-Selection Problem for Scalable Probabilistic RowHammer Defense

Jeonghyun Woo, Junsu Kim, Aamer Jaleel, Prashant J. Nair

The paper proposes PrISM, an intersection-based probabilistic mitigation technique that significantly improves the scalability of RowHammer defense at low thresholds by correlating sampled row history…

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cs.ARRecentMay 29, 2026

A Reconfigurable Computing In-Memory Macro with Charge-sharing-based Weighted Accumulator

Junyi Yang, Shuai Dong, Zhengnan Fu, Hongyang Shang +1 more

The paper proposes a highly reconfigurable 256x128 in-memory computing array that significantly improves efficiency and performance for analog computing by introducing novel components for ADC, weight…

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cs.CRcs.ARcs.LGRecentApr 19, 2026

Bit-Flip Vulnerability of Shared KV-Cache Blocks in LLM Serving Systems

Yuji Yamamoto, Satoshi Matsuura

The paper analyzes the bit-flip vulnerability of shared KV-cache blocks in LLM serving systems, demonstrating that these blocks are susceptible to silent, persistent, and selective data corruption.

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cs.ARcs.LGEmpiricalRecentJul 21, 2026

From Bit-Position Sensitivity to Unequal Error Protection for DNN Inference Memory

Muhammad Husnain Mubarik, Karthik Mohan Kumar, Pedro Antonio Pena, Keshavan Varadarajan +1 more

This paper characterizes per-bit-position fault sensitivity in machine learning inference across various workloads and floating-point formats, identifying a sharp bit-sensitivity transition and derivi…

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cs.ARcs.PFRecentMay 30, 2026

Regular-Dead on Arrival: Characterizing and Protecting Against Dead-Entry TLB Misses in GPU Microarchitectures

Shafayat Mowla Anik, Yongchan Jung, Jeeho Ryoo, Byeong Kil Lee

The paper characterizes 'dead-entry' TLB misses in GPUs, which occur when recently evicted translations are immediately re-walked, and proposes DEPOT, a Bloom filter mechanism that significantly reduc…

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cs.ITeess.SPTheoreticalRecentJul 17, 2026

Current Should Not Sneak: Constrained Codes for Reliable Memristor Crossbar Arrays

Selahattin Kaan Kırgeç, Yunus Alp Bıyıkoğlu, Ahmed Hareedy

This paper proposes effective constrained coding solutions to the sneak-path problem in resistive random access memories (ReRAMs) using GF$(4)$ and GF$(8)$ codes.

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cs.ARcs.AIRecentMay 30, 2026

LP5X-PIM Sim: A High-Fidelity HW/SW Integrated Simulator for LPDDR5X-PIM

SangHoon Cha, Jaewan Choi, Byeongho Kim, Yoonah Paik +2 more

This paper introduces a high-fidelity, integrated hardware-software simulator for LPDDR5X-PIM, enabling precise evaluation of system performance and energy efficiency.

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cs.DBcs.DCcs.PFEmpiricalRecentJun 26, 2026

DiStash: A Disaggregated Multi-Stash Transactional Key-Value Store

Yiming Gao, Hieu Nguyen, Jun Li, Shahram Ghandeharizadeh

This paper introduces DiStash, a disaggregated transactional key-value store that enables an application to use a single transaction to manage key-value pairs across different pools of stashes, preven…

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cs.CRcs.AIRecentJun 3, 2026

From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents

Pritam Dash, Tongyu Ge, Aditi Jain, Tanmay Shah +1 more

This paper systematically studies memory poisoning attacks in LLM agents, identifying multiple vulnerabilities and proposing a new benchmark to assess the risk.

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cs.CCcs.PFcs.PLTheoreticalRecentJun 29, 2026

The Fourth-Root Complexity of Data Movement

Chen Ding

This paper analyzes data-access cost in a memory hierarchy and shows it scales with the fourth root of data size, predicting scalability.

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