Results 11 to 20 of about 18,499 (235)

Performance Analysis Of SRAM and Dram in Low Power Application [PDF]

open access: yesE3S Web of Conferences, 2023
All electronic systems must function quickly in the current environment, and 80 percent of electronic chips have memory components. SRAM (Static Random Access Memory) has thus become a major key component in many VLSI Chips in order to reduce the size of
Yuvaraj S.   +5 more
doaj   +1 more source

CYBER SECURITY IN INDUSTRIAL CONTROL SYSTEMS (ICS): A SURVEY OF ROWHAMMER VULNERABILITY [PDF]

open access: yesApplied Computer Science, 2022
Increasing dependence on Information and Communication Technologies (ICT) and especially on the Internet in Industrial Control Systems (ICS) has made these systems the primary target of cyber-attacks.
Hakan AYDIN , Ahmet SERTBAŞ
doaj   +1 more source

Performance evaluation of SRAM design using different field effect transistors [PDF]

open access: yesE3S Web of Conferences, 2023
SRAM (Static Random Access Memory) is one of the type of memory which holds the data bit without periodic refreshment. Compared with DRAM (Dynamic Random Access Memory) which requires periodic refreshment of data bit stored in it.
C. Venkataiah   +5 more
doaj   +1 more source

DRAMSys4.0: An Open-Source Simulation Framework for In-depth DRAM Analyses [PDF]

open access: yes, 2022
The simulation of Dynamic Random Access Memories (DRAMs) on system level requires highly accurate models due to their complex timing and power behavior. However, conventional cycle-accurate DRAM subsystem models often become a bottleneck for the overall ...
Prado, Felipe S.   +4 more
core   +1 more source

DRAM Retention Behavior with Accelerated Aging in Commercial Chips

open access: yesApplied Sciences, 2022
The cells in dynamic random access memory (DRAM) degrade over time as a result of aging, leading to poor performance and potential security vulnerabilities.
Md Kawser Bepary   +2 more
doaj   +1 more source

EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systems

open access: yesFrontiers in Neuroscience, 2022
Spiking Neural Networks (SNNs) have shown capabilities of achieving high accuracy under unsupervised settings and low operational power/energy due to their bio-plausible computations.
Rachmad Vidya Wicaksana Putra   +2 more
doaj   +1 more source

GJMeijer/DRAM: v0.1.1

open access: yes, 2022
R code implementation of the Dundee Root Analytical Model (DRAM) for calculation of mechanical root reinforcement as function of direct shear displacements in soil (version 0.1.1)
Meijer, Gerrit, G. J. Meijer
core   +1 more source

Enabling Variability-Aware Design-Technology Co-Optimization for Advanced Memory Technologies

open access: yesJournal of Microelectronic Manufacturing, 2020
This paper presents a TCAD-based methodology to enable Design-Technology Co-Optimization (DTCO) of advanced semiconductor memories. After reviewing the DTCO approach to semiconductor devices scaling, we introduce a multi-stage simulation flow to study ...
Salvatore M. Amoroso   +9 more
doaj   +1 more source

Serum starvation induces DRAM expression in liver cancer cells via histone modifications within its promoter locus. [PDF]

open access: yesPLoS ONE, 2012
DRAM is a lysosomal membrane protein and is critical for p53-mediated autophagy and apoptosis. DRAM has a potential tumor-suppressive function and is downregulated in many human cancers.
Peihua Ni   +8 more
doaj   +1 more source

Adaptive-Latency DRAM (AL-DRAM)

open access: yesCoRR, 2016
This paper summarizes the idea of Adaptive-Latency DRAM (AL-DRAM), which was published in HPCA 2015. The key goal of AL-DRAM is to exploit the extra margin that is built into the DRAM timing parameters to reduce DRAM latency. The key observation is that the timing parameters are dictated by the worst-case temperatures and worst-case DRAM cells, both of
Donghyuk Lee   +6 more
openaire   +2 more sources

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