Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions
- URL: http://arxiv.org/abs/2502.11745v1
- Date: Mon, 17 Feb 2025 12:39:03 GMT
- Title: Understanding RowHammer Under Reduced Refresh Latency: Experimental Analysis of Real DRAM Chips and Implications on Future Solutions
- Authors: Yahya Can Tuğrul, A. Giray Yağlıkçı, İsmail Emir Yüksel, Ataberk Olgun, Oğuzhan Canpolat, Nisa Bostancı, Mohammad Sadrosadati, Oğuz Ergin, Onur Mutlu,
- Abstract summary: RowHammer is a read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in physically nearby DRAM rows (victim rows)
With newer DRAM chip generations, these mechanisms perform preventive refresh more aggressively and cause larger performance, energy, or area overheads.
We present the first rigorous experimental study on the interactions between refresh latency and RowHammer characteristics in real DRAM chips.
Our results show that Partial Charge Restoration for Aggressive Mitigation (PaCRAM) reduces the performance and energy overheads induced by five state-of-the-art RowHammer mitigation mechanisms with
- Score: 6.157443107603247
- License:
- Abstract: 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 (victim rows). To ensure robust DRAM operation, state-of-the-art mitigation mechanisms restore the charge in potential victim rows (i.e., they perform preventive refresh or charge restoration). With newer DRAM chip generations, these mechanisms perform preventive refresh more aggressively and cause larger performance, energy, or area overheads. Therefore, it is essential to develop a better understanding and in-depth insights into the preventive refresh to secure real DRAM chips at low cost. In this paper, our goal is to mitigate RowHammer at low cost by understanding the impact of reduced preventive refresh latency on RowHammer. To this end, we present the first rigorous experimental study on the interactions between refresh latency and RowHammer characteristics in real DRAM chips. Our experimental characterization using 388 real DDR4 DRAM chips from three major manufacturers demonstrates that a preventive refresh latency can be significantly reduced (by 64%). To investigate the impact of reduced preventive refresh latency on system performance and energy efficiency, we reduce the preventive refresh latency and adjust the aggressiveness of existing RowHammer solutions by developing a new mechanism, Partial Charge Restoration for Aggressive Mitigation (PaCRAM). Our results show that PaCRAM reduces the performance and energy overheads induced by five state-of-the-art RowHammer mitigation mechanisms with small additional area overhead. Thus, PaCRAM introduces a novel perspective into addressing RowHammer vulnerability at low cost by leveraging our experimental observations. To aid future research, we open-source our PaCRAM implementation at https://github.com/CMU-SAFARI/PaCRAM.
Related papers
- Chronus: Understanding and Securing the Cutting-Edge Industry Solutions to DRAM Read Disturbance [6.220002579079846]
We present the first rigorous security, performance, energy, and cost analyses of the state-of-the-art on-DRAM-die read disturbance mitigation method.
We propose a new on-DRAM-die RowHammer mitigation mechanism, Chronus, to address PRAC's two major weaknesses.
arXiv Detail & Related papers (2025-02-18T08:54:49Z) - DAPPER: A Performance-Attack-Resilient Tracker for RowHammer Defense [1.1816942730023883]
RowHammer vulnerabilities pose a significant threat to modern DRAM-based systems.
Perf-Attacks exploit shared structures to reduce DRAM bandwidth for co-running benign applications.
We propose secure hashing mechanisms to thwart adversarial attempts to capture the mapping of shared structures.
arXiv Detail & Related papers (2025-01-31T02:38:53Z) - Preventing Rowhammer Exploits via Low-Cost Domain-Aware Memory Allocation [46.268703252557316]
Rowhammer is a hardware security vulnerability at the heart of every system with modern DRAM-based memory.
C Citadel is a new memory allocator design that prevents Rowhammer-initiated security exploits.
C Citadel supports thousands of security domains at a modest 7.4% average memory overhead and no performance loss.
arXiv Detail & Related papers (2024-09-23T18:41:14Z) - ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack [71.2286719703198]
We propose the Recursive Token Merging for Video Diffusion-based Unrestricted Adrial Attack (ReToMe-VA)
To achieve spatial imperceptibility, ReToMe-VA adopts a Timestep-wise Adrial Latent Optimization (TALO) strategy.
To achieve temporal imperceptibility, ReToMe-VA introduces a Recursive Token Merging (ReToMe) mechanism by matching and merging tokens across video frames.
arXiv Detail & Related papers (2024-08-10T08:10:30Z) - SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning [63.93193829913252]
We propose an innovative METL strategy called SHERL for resource-limited scenarios.
In the early route, intermediate outputs are consolidated via an anti-redundancy operation.
In the late route, utilizing minimal late pre-trained layers could alleviate the peak demand on memory overhead.
arXiv Detail & Related papers (2024-07-10T10:22:35Z) - DRAM-Profiler: An Experimental DRAM RowHammer Vulnerability Profiling Mechanism [8.973443004379561]
This paper presents a low-overhead DRAM RowHammer vulnerability profiling technique termed DRAM-Profiler.
The proposed test vectors intentionally weaken the spatial correlation between the aggressors and victim rows before an attack for evaluation.
The results uncover the significant variability among chips from different manufacturers in the type and quantity of RowHammer attacks that can be exploited by adversaries.
arXiv Detail & Related papers (2024-04-29T03:15:59Z) - BreakHammer: Enhancing RowHammer Mitigations by Carefully Throttling Suspect Threads [5.767293823380473]
RowHammer is a read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in other physically nearby DRAM rows.
RowHammer solutions perform preventive actions (e.g., refresh neighbor rows of the hammered row) that mitigate such bitflips.
As shrinking technology node size over DRAM chip generations exacerbates RowHammer, the overheads of RowHammer solutions become prohibitively expensive.
In this work, we tackle the performance overheads of RowHammer solutions by tracking and throttling the generators of memory accesses that trigger RowHammer solutions.
arXiv Detail & Related papers (2024-04-20T22:09:38Z) - HiRE: High Recall Approximate Top-$k$ Estimation for Efficient LLM
Inference [68.59839755875252]
HiRE comprises of two novel components: (i) a compression scheme to cheaply predict top-$k$ rows/columns with high recall, followed by full computation restricted to the predicted subset, and (ii) DA-TOP-$k$: an efficient multi-device approximate top-$k$ operator.
We demonstrate that on a one billion parameter model, HiRE applied to both the softmax as well as feedforward layers, achieves almost matching pretraining and downstream accuracy, and speeds up inference latency by $1.47times$ on a single TPUv5e device.
arXiv Detail & Related papers (2024-02-14T18:04:36Z) - Threshold Breaker: Can Counter-Based RowHammer Prevention Mechanisms Truly Safeguard DRAM? [8.973443004379561]
This paper experimentally demonstrates a novel multi-sided fault injection attack technique called Threshold Breaker.
It can effectively bypass the most advanced counter-based defense mechanisms by soft-attacking the rows at a farther physical distance from the target rows.
As a case study, we compare the performance efficiency between our mechanism and a well-known double-sided attack by performing adversarial weight attacks on a modern Deep Neural Network (DNN)
arXiv Detail & Related papers (2023-11-28T03:36:17Z) - StrObe: Streaming Object Detection from LiDAR Packets [73.27333924964306]
Rolling shutter LiDARs emitted as a stream of packets, each covering a sector of the 360deg coverage.
Modern perception algorithms wait for the full sweep to be built before processing the data, which introduces an additional latency.
In this paper we propose StrObe, a novel approach that minimizes latency by ingesting LiDAR packets and emitting a stream of detections without waiting for the full sweep to be built.
arXiv Detail & Related papers (2020-11-12T14:57:44Z) - Demand Responsive Dynamic Pricing Framework for Prosumer Dominated
Microgrids using Multiagent Reinforcement Learning [59.28219519916883]
This paper proposes a new multiagent Reinforcement Learning based decision-making environment for implementing a Real-Time Pricing (RTP) DR technique in a prosumer dominated microgrid.
The proposed technique addresses several shortcomings common to traditional DR methods and provides significant economic benefits to the grid operator and prosumers.
arXiv Detail & Related papers (2020-09-23T01:44:57Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.