Results 51 to 60 of about 14,907 (188)

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

open access: yesAdvanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang   +7 more
wiley   +1 more source

Improving NVM Lifetime Using Task Stack Migration on Low-End MCU-Based Devices

open access: yesIEEE Access, 2022
Tiny embedded devices are cost and energy-sensitive, and high-density emerging non-volatile memory (NVM) can help reduce energy consumption at a fraction of the cost. However, high-density NVM has low write endurance compared to volatile memory, so it is
Jeongmin Lee   +7 more
doaj   +1 more source

Algorithm-Directed Crash Consistence in Non-Volatile Memory for HPC

open access: yes, 2017
Fault tolerance is one of the major design goals for HPC. The emergence of non-volatile memories (NVM) provides a solution to build fault tolerant HPC.
Li, Dong   +4 more
core   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj   +2 more
wiley   +1 more source

Open Programming Language Interpreters [PDF]

open access: yes, 2017
Context: This paper presents the concept of open programming language interpreters and the implementation of a framework-level metaobject protocol (MOP) to support them.
Cazzola, Walter, Shaqiri, Albert
core   +2 more sources

Methods for Setting Device Specifications for Analog In‐Memory Computing Inference

open access: yesAdvanced Intelligent Systems, EarlyView.
Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a method to define required NVM specifications is critical for improving performance and reducing manufacturing cost.
Zhenyu Wu   +3 more
wiley   +1 more source

Activation‐Integrated and Memory‐Assisted Dynamic‐Latch Quantizer for Variation‐Tolerant and Low‐Energy Neuromorphic Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic computing. Analog‐to‐digital converters (ADCs) remain the dominant area/energy bottleneck in neuromorphic computing (NC) systems.
Jonghyun Ko   +4 more
wiley   +1 more source

Natural vegetation management to conserve biodiversity and soil water in olive orchards

open access: yesSpanish Journal of Agricultural Research, 2014
The combined impact of soil tillage intensification and expansion of olive farming is resulting in soil degradation and biodiversity decline. We hypothesized that, instead of tilling, mowing to control the natural vegetation in spring can increase ...
Maria P. Simoes   +3 more
doaj   +1 more source

Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory

open access: yes, 2017
The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring highly efficient computation for its analysis.
Cadenelli, Nicola   +2 more
core   +1 more source

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

open access: yesInfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda   +7 more
wiley   +1 more source

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