减少基于计数器的行锤缓解措施的硅面积开销

IF 1.4 3区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Computer Architecture Letters Pub Date : 2023-10-31 DOI:10.1109/LCA.2023.3328824
Loïc France;Florent Bruguier;David Novo;Maria Mushtaq;Pascal Benoit
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引用次数: 0

摘要

现代计算机内存已显示出可靠性问题。主存储器是一种名为 "行锤"(Rowhammer)的安全威胁的目标,它会导致攻击行中相邻受害单元的位翻转。人们提出了许多对策,其中一些最有效的对策依赖于行访问计数器,并采用不同的技术来减少对性能、能耗和硅面积的影响。在这些建议中,计数器的数量是根据可向受保护行组发出的最大行激活次数来计算的。由于减少计数器数量可以降低硅面积和能耗开销,因此会对生产和使用成本产生直接影响。在这项工作中,我们展示了两种最有效的对策,通过改变其计数粒度,可将硅面积开销减少约 50%,而不会影响保护级别。
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Reducing the Silicon Area Overhead of Counter-Based Rowhammer Mitigations
Modern computer memories have shown to have reliability issues. The main memory is the target of a security threat called Rowhammer, which causes bit flips in adjacent victim cells of aggressor rows. Numerous countermeasures have been proposed, some of the most efficient ones relying on row access counters, with different techniques to reduce the impact on performance, energy consumption and silicon area. In these proposals, the number of counters is calculated using the maximum number of row activations that can be issued to the protected bank. As reducing the number of counters results in lower silicon area and energy overheads, this can have a direct impact on the production and usage costs. In this work, we demonstrate that two of the most efficient countermeasures can have their silicon area overhead reduced by approximately 50% without impacting the protection level by changing their counting granularity.
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来源期刊
IEEE Computer Architecture Letters
IEEE Computer Architecture Letters COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
CiteScore
4.60
自引率
4.30%
发文量
29
期刊介绍: IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.
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