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相关论文: 3RSeT: Read Disturbance Rate Reduction in STT-MRAM…

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Spin-Transfer Torque Magnetic RAM (STT-MRAM) as one of the most promising replacements for SRAMs in on-chip cache memories benefits from higher density and scalability, near-zero leakage power, and non-volatility, but its reliability is…

硬件体系结构 · 计算机科学 2026-01-05 Elham Cheshmikhani , Hamed Farbeh , Hossein Asadi

Due to its high density and close-to-SRAM read latency, spin transfer torque RAM (STT-RAM) is considered one of the most-promising emerging memory technologies for designing large last level caches (LLCs). However, in deep sub-micron…

硬件体系结构 · 计算机科学 2017-11-21 Sparsh Mittal

As technology process node scales down, on-chip SRAM caches lose their efficiency because of their low scalability, high leakage power, and increasing rate of soft errors. Among emerging memory technologies, Spin-Transfer Torque Magnetic…

硬件体系结构 · 计算机科学 2022-01-13 Elham Cheshmikhani , Hamed Farbeh , Seyed Ghassem Miremadi , Hossein Asadi

Spin-Transfer Torque Magnetic RAM (STT-MRAM) is known as the most promising replacement for SRAM technology in large Last-Level Caches (LLCs). Despite its high-density, non-volatility, near-zero leakage power, and immunity to radiation as…

硬件体系结构 · 计算机科学 2022-01-11 Elham Cheshmikhani , Hamed Farbeh , Hossein Asadi

As capacity and complexity of on-chip cache memory hierarchy increases, the service cost to the critical loads from Last Level Cache (LLC), which are frequently repeated, has become a major concern. The processor may stall for a…

硬件体系结构 · 计算机科学 2016-08-09 Navid Khoshavi , Xunchao Chen , Jun Wang , Ronald F. DeMara

Spin Transfer Torque Random Access Memory (STT-RAM) has garnered interest due to its various characteristics such as non-volatility, low leakage power, high density. Its magnetic properties have a vital role in STT switching operations…

硬件体系结构 · 计算机科学 2022-08-17 Saeed Seyedfaraji , Javad Talafy Daryani , Mohamed M. Sabry Aly , Semeen Rehman

Various constraints of Static Random Access Memory (SRAM) are leading to consider new memory technologies as candidates for building on-chip shared last-level caches (SLLCs). Spin-Transfer Torque RAM (STT-RAM) is currently postulated as the…

Modern DRAM chips are subject to read disturbance errors. State-of-the-art read disturbance mitigations rely on accurate and exhaustive characterization of the read disturbance threshold (RDT) (e.g., the number of aggressor row activations…

Spin transfer torque magnetic random access memory (STT-MRAM) is considered as one of the most promising candidates to build up a true universal memory thanks to its fast write/read speed, infinite endurance and non-volatility. However the…

As one of the most promising emerging non-volatile memory (NVM) technologies, spin-transfer torque magnetic random access memory (STT-MRAM) has attracted significant research attention due to several features such as high density, zero…

新兴技术 · 计算机科学 2020-01-16 Lizhou Wu , Mottaqiallah Taouil , Siddharth Rao , Erik Jan Marinissen , Said Hamdioui

Spin Transfer Torque MRAMs are attractive due to their non-volatility, high density and zero leakage. However, STT-MRAMs suffer from poor reliability due to shared read and write paths. Additionally, conflicting requirements for data…

其他计算机科学 · 计算机科学 2016-06-20 Zoha Pajouhi , Xuanyao Fong , Anand Raghunathan , Kaushik Roy

Last level caches (LLCs) occupy a large chip-area and there size is expected to grow further to offset the limitations of memory bandwidth and speed. Due to high leakage consumption of SRAM device, caches designed with SRAM consume large…

硬件体系结构 · 计算机科学 2014-08-12 Sparsh Mittal

Prior studies have shown that the retention time of the non-volatile spin-transfer torque RAM (STT-RAM) can be relaxed in order to reduce STT-RAM's write energy and latency. However, since different applications may require different…

计算机与社会 · 计算机科学 2024-07-30 Dhruv Gajaria , Kyle Kuan , Tosiron Adegbija

There is an extremely high demand for a high speed, low power, low leakage, and low noise Static Random-Access Memory (SRAM) for high performance cache memories. The energy efficiency of SRAM is of paramount importance in both high…

应用物理 · 物理学 2020-12-08 Antardipan Pal , Yong Zhang , Dennis D. Yau

Spin-Transfer Torque RAM (STTRAM) is promising for cache applications. However, it brings new data security issues that were absent in volatile memory counterparts such as Static RAM (SRAM) and embedded Dynamic RAM (eDRAM). This is…

密码学与安全 · 计算机科学 2016-03-22 Nitin Rathi , Asmit De , Helia Naeimi , Swaroop Ghosh

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 disturbance bitflip) to securely and performance- and…

硬件体系结构 · 计算机科学 2026-03-16 Ataberk Olgun , F. Nisa Bostanci , Ismail Emir Yuksel , Haocong Luo , Minesh Patel , A. Giray Yaglikci , Onur Mutlu

Relaxed retention (or volatile) spin-transfer torque RAM (STT-RAM) has been widely studied as a way to reduce STT-RAM's write energy and latency overheads. Given a relaxed retention time STT-RAM level one (L1) cache, we analyze the impacts…

计算机与社会 · 计算机科学 2024-07-30 Dhruv Gajaria , Tosiron Adegbija

Spin-Transfer Torque Magnetic RAM} (STT-MRAM) is a promising alternative for SRAMs in on-chip cache memories. Besides all its advantages, high error rate in STT-MRAM is a major limiting factor for on-chip cache memories. In this paper, we…

硬件体系结构 · 计算机科学 2026-01-05 Elham Cheshmikhani , Hamed Farbeh , Hossein Asadi

Spin-Transfer Torque RAM (STTRAM) is a promising alternative to SRAM in on-chip caches due to several advantages. These advantages include non-volatility, low leakage, high integration density, and CMOS compatibility. Prior studies have…

硬件体系结构 · 计算机科学 2020-09-25 Kyle Kuan , Tosiron Adegbija

Progress in artificial intelligence and machine learning over the past decade has been driven by the ability to train larger deep neural networks (DNNs), leading to a compute demand that far exceeds the growth in hardware performance…

硬件体系结构 · 计算机科学 2023-08-07 Sourjya Roy , Cheng Wang , Anand Raghunathan
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