Results 101 to 110 of about 12,434,327 (206)

Co-Designing NVM-based Systems for Machine Learning and In-memory Search Applications [PDF]

open access: yes
With the rapid development of the Internet of Things, machine learning applications on edge devices with limited resources face challenges due to large data scales and irregular memory access patterns.
Chen, Kuan Hsun; id_orcid   +11 more
core   +1 more source

Ferroelectric HfO2 based devices fabrication and remaining issues

open access: yes, 2019
International audienceNew computer generations require micro-processors in close proximity to non-volatile memories (NVM), both working with low power consumption and high write speed. Since current FLASH technology cannot perform at these specifications,
Bouaziz, Jordan   +3 more
core   +3 more sources

Shared Resource Management for Non-Volatile Asymmetric Memory [PDF]

open access: yes, 2015
Non-volatile memory (NVM), such as Phase-Change Memory (PCM), is a promising energy-efficient candidate to replace DRAM. It is desirable because of its non-volatility, good scalability and low idle power.
Zhou, Miao
core  

An FPGA-based platform for non volatile memory emulation

open access: yes, 2017
© 2017 IEEE.Non volatile memory (NVM) is expected to enrich the next generation computer system. However, designers have difficulties in exploring new software and hardware design ideas based on NVM due to the limitations of current simulation-based ...
Yoo, Sungjoo, Lee, Taemin
core  

Implementation of STDP Learning for Non-volatile Memory-based Spiking Neural Network using Comparator Metastability

open access: yes, 2019
This paper presents a circuit for spike-timing dependent plasticity (STDP) learning of a non-volatile memory (NVM) based spiking neural network (SNN). Unlike conventional hardware for implementation of STDP learning, the proposed circuit does not require
Gi, Sang-Gyun   +2 more
core  

Neuromorphic computing using non-volatile memory

open access: yes, 2016
Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient neuromorphic computing systems.
Seyoung Kim
core  

ODHD: On-Demand Helper Data Generation for Reliable NVM-Free Key Derivation from SRAM PUF

open access: yes
International audiencePhysically Unclonable Functions (PUFs) extract secure keys from inherent hardware variations, without storing them in non-volatile memory (NVM).
Pister, Kristofer   +4 more
core  

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