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Related papers: Survey on STT-MRAM Testing: Failure Mechanisms, Fa…

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Resistance switching random access memory (ReRAM), with the ability to repeatedly modulate electrical resistance, has been highlighted as a feasible high-density memory with the potential to replace negative-AND (NAND) flash memory. Such…

Mesoscale and Nanoscale Physics · Physics 2018-04-11 Yang Lu , Jung Ho Yoon , Yanhao Dong , I-Wei Chen

DRAM-based main memories have read operations that destroy the read data, and as a result, must buffer large amounts of data on each array access to keep chip costs low. Unfortunately, system-level trends such as increased memory contention…

Hardware Architecture · Computer Science 2018-12-18 Justin Meza , Jing Li , Onur Mutlu

In our earlier work [Appl. Phys. Lett. 92, 022509 (2008)], we proposed nonvolatile vortex random access memory (VRAM) based on the energetically stable twofold ground state of vortex-core magnetizations as information carrier. Here we…

Materials Science · Physics 2011-08-12 Young-Sang Yu , Hyunsung Jung , Ki-Suk Lee , Peter Fischer , Sang-Koog Kim

The study of concurrent persistent programs has seen a surge of activity in recent years due to the introduction of non-volatile random access memories (NVRAM), yielding many models and correctness notions that are difficult to compare. In…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-24 Naama Ben-David , Michal Friedman , Yuanhao Wei

System-level test, or SLT, is an increasingly important process step in today's integrated circuit testing flows. Broadly speaking, SLT aims at executing functional workloads in operational modes. In this paper, we consolidate available…

In this paper we present an algorithm-hardware codesign for camera-based autonomous flight in small drones. We show that the large write-latency and write-energy for nonvolatile memory (NVM) based embedded systems makes them unsuitable for…

Other Computer Science · Computer Science 2019-05-16 Insik Yoon , Aqeel Anwar , Titash Rakshit , Arijit Raychowdhury

Large-scale integration of emerging nanoscale non-volatile memory devices, e.g. resistive random-access memory (RRAM), can enable a new generation of neuromorphic computers that can solve a wide range of machine learning problems. Such…

Emerging Technologies · Computer Science 2016-12-20 Xinyu Wu , Vishal Saxena

NAND flash memory is ubiquitous in everyday life today because its capacity has continuously increased and cost has continuously decreased over decades. This positive growth is a result of two key trends: (1) effective process technology…

Hardware Architecture · Computer Science 2018-01-08 Yu Cai , Saugata Ghose , Erich F. Haratsch , Yixin Luo , Onur Mutlu

Over the past two decades, the storage capacity and access bandwidth of main memory have improved tremendously, by 128x and 20x, respectively. These improvements are mainly due to the continuous technology scaling of DRAM (dynamic…

Hardware Architecture · Computer Science 2017-12-25 Kevin K. Chang

This paper presents the effectiveness of various stress conditions (mainly voltage and frequency) on detecting the resistive shorts and open defects in deep sub-micron embedded memories in an industrial environment. Simulation studies on…

Hardware Architecture · Computer Science 2011-11-09 Ananta K. Majhi , Mohamed Azimane , Guido Gronthoud , Maurice Lousberg , Stefan Eichenberger , Fred Bowen

Increased process variability and reliability issues present a major challenge for future SRAM trends. Non-intrusive and accurate SRAM stability measurement is crucial for estimating yield in large SRAM arrays. Conventional SRAM variability…

Hardware Architecture · Computer Science 2024-11-26 Bartomeu Alorda , Cristian Carmona , Gabriel Torrens , Sebastia Bota

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…

Hardware Architecture · Computer Science 2016-08-09 Navid Khoshavi , Xunchao Chen , Jun Wang , Ronald F. DeMara

The critical current density $J_{c0}$ required for switching the magnetization of the free layer (FL) in a spin-transfer torque magnetic random access memory (STT-MRAM) cell is proportional to the product of the damping parameter,…

This paper summarizes our work on experimental characterization and analysis of reduced-voltage operation in modern DRAM chips, which was published in SIGMETRICS 2017, and examines the work's significance and future potential. We take a…

Spin Transfer Torque RAM (STTRAM) is a promising candidate for Last Level Cache (LLC) due to high endurance, high density and low leakage. One of the major disadvantages of STTRAM is high write latency and write current. Additionally, the…

Cryptography and Security · Computer Science 2016-03-23 Nitin Rathi , Helia Naeimi , Swaroop Ghosh

Switched Reluctance Motors (SRMs) are cost-effective electric actuators that utilize magnetic reluctance to generate torque, with torque ripple arising from unaccounted manufacturing defects in the rotor tooth geometry. This paper aims to…

Systems and Control · Electrical Eng. & Systems 2024-03-28 Max van Meer , Gert Witvoet , Tom Oomen

The ramp-reversal memory (RRM) effect in metal-insulator transition metal oxides (TMOs), a non-volatile resistance change induced by repeated temperature cycling, has attracted considerable interest in neuromorphic computing and…

Materials Science · Physics 2025-11-20 Y. Sun , M. Alzate Banguero , P. Salev , Ivan K. Schuller , L. Aigouy , A. Zimmers , E. W. Carlson

Magnetic Tunnel Junctions (MTJs) constitute the novel memory element in STT-MRAM, which is ramping to production at major foundries as an eFlash replacement. MTJ switching exhibits a stochastic behavior due to thermal fluctuations, which is…

Emerging Technologies · Computer Science 2021-06-24 Fernando García-Redondo , Pranay Prabhat , Mudit Bhargava

Emerging applications of control, estimation, and machine learning, ranging from target tracking to decentralized model fitting, pose resource constraints that limit which of the available sensors, actuators, or data can be simultaneously…

Optimization and Control · Mathematics 2020-12-15 Vasileios Tzoumas , Ali Jadbabaie , George J. Pappas

To make a useful STT-MRAM (spin-transfer torque magnetoresistive random-access memory) device, it is necessary to be able to calculate switching rates, which determine the error rates of the device. In a single-macrospin model, one can use…

Mesoscale and Nanoscale Physics · Physics 2014-10-28 Kamaram Munira , P. B. Visscher