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A Survey of Universal Quantum von Neumann Architecture [PDF]
The existence of universal quantum computers has been theoretically well established. However, building up a real quantum computer system not only relies on the theory of universality, but also needs methods to satisfy requirements on other features ...
Yuan-Ting Liu +3 more
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Spike-based Q-learning in a non-von Neumann architecture [PDF]
Non-von Neumann architectures overcome the memory-compute separation of von Neumann systems by distributing computation and memory locally, thereby reducing data-transfer bottlenecks and power consumption. These features are particularly advantageous for
Donghyuk Shin +17 more
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Circuit simulation of floating-gate FET (FGFET) for logic application
In this study, a floating-gate field-effect transistor (FGFET) structure is proposed and verified through simulations. Current memory devices often rely on the von Neumann architecture which suffers from von Neumann bottleneck.
Yunjae Kim +4 more
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Trends and challenges in the circuit and macro of RRAM-based computing-in-memory systems
Conventional von Neumann architecture faces many challenges in dealing with data-intensive artificial intelligence tasks efficiently due to huge amounts of data movement between physically separated data computing and storage units.
Song-Tao Wei +5 more
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Multifunctional computing-in-memory SRAM cells based on two-surface-channel MoS2 transistors
Summary: Driven by technologies such as machine learning, artificial intelligence, and internet of things, the energy efficiency and throughput limitations of the von Neumann architecture are becoming more and more serious.
Fan Wang +7 more
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Improving road safety is not only reliant on engineering aspects but also on the surrounding landscape, which plays an indispensable role in drivers’ visual perception.
Mahsa Habibi +2 more
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Synapse-Mimetic Hardware-Implemented Resistive Random-Access Memory for Artificial Neural Network
Memristors mimic synaptic functions in advanced electronics and image sensors, thereby enabling brain-inspired neuromorphic computing to overcome the limitations of the von Neumann architecture.
Hyunho Seok +4 more
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Logic-in-Memory Computation: Is It Worth it? A Binary Neural Network Case Study
Recently, the Logic-in-Memory (LiM) concept has been widely studied in the literature. This paradigm represents one of the most efficient ways to solve the limitations of a Von Neumann’s architecture: by placing simple logic circuits inside or near
Andrea Coluccio +2 more
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In contrast to other European countries, the nurseries in Hungary mainly use Myrobalan seedlings as rootstock for plum trees; no experience with other rootstocks is available yet.
Anikó Kajtár-Czinege +2 more
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The conventional von Neumann computing architecture is ill suited to data intensive tasks as data must be repeated moved between the separated processing and memory units.
Seokho Seo +12 more
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