Memory leads the way to better computing.
By H. P. Wong, Sayeef Salahuddin. Nature Nanotechnology, 2015
870 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8bdedf9cef5ec5082c78a10ea06fcf58f076aaf5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Shimeng Yu
- Daniele Ielmini
- H. Philip Wong
- Pai-Yu Chen
- Abu Sebastian
- J. Joshua Yang
- M. Le Gallo
- Razali Ismail
Citations in the corpus
- Emerging Memory Technologies: Recent Trends and Prospects (2016, background): “In this context, emerging memory technologies that are noncharge based are actively under research and development in the industry, with the hope of revolutionizing the memory hierarchy [1].”
- Conduction Mechanism of Valence Change Resistive Switching Memory: A Survey (2015, background): “However, Flash memories continue to suffer from low endurance, low write speed and high voltage in write process [1,2].”
- An artificial spiking afferent nerve based on Mott memristors for neurorobotics (2020, background): “This poses a signi cant challenge to the traditional computing architecture due to the von-Neumann bottleneck 3 – 5 .”
- Memory devices and applications for in-memory computing (2020, background): “Such differences manifest as a change of resistance and these devices are thus termed resistive memory devices 14 .”
- Resistive switching memories based on metal oxides: mechanisms, reliability and scaling (2016, background): “For all these reasons, resistive memories are very promising not only for nonvolatile memories, but also for computing memories, allowing fast data access to overcome the von Neumann bottleneck [15], and for computing architectures blurring the distinction between memory”
- Face classification using electronic synapses (2017, methodology): “This RRAM device 16,17 is integrated in a 1024-cell array and 960 cells are employed in a neuromorphic network 18 .”
- In-memory computing with resistive switching devices (2018, background): “New and emerging non-volatile memory concepts have also been introduced into the traditional memory hierarchy to reduce the ‘distance’ between computing and the data 9 .”