Results 11 to 20 of about 6,665,226 (290)
A family of quantum von Neumann architecture [PDF]
Chinese Physics B, 2023 Abstract We develop universal quantum computing models that form a family of quantum von Neumann architectures, with modular units of memory, control, CPU, and internet, besides input and output. This family contains three generations characterized by dynamical quantum resource theory, and it also circumvents no-go theorems on quantum ...
Wang, D. -S.
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Photonic-Enabled Energy-Efficient Transparent Neuromorphic Computing Devices: A Review. [PDF]
Adv Sci (Weinh)Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Ghosh S +8 more
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Flash Memory Array for Efficient Implementation of Deep Neural Networks
Advanced Intelligent Systems, 2021 The advancement of artificial intelligence applications is promoted by developing deep neural networks (DNNs) with increasing sizes and putting forward higher computing power requirements of the processing devices.
Runze Han +5 more
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Von Neumann bottlenecks in non-von Neumann computing architectures [PDF]
, 2020 The term "neuromorphic" refers to a broad class of computational devices that mimic various aspects of cortical information processing. In particular, they instantiate neurons, either physically or virtually, which communicate through time-singular events called spikes.
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The Halting Probability in Von Neumann Architectures [PDF]
, 2006 Theoretical models of Turing complete linear genetic programming (GP) programs suggest the fraction of halting programs is vanishingly small. Convergence results proved for an idealised machine, are tested on a small T7 computer with (finite) memory, conditional branches and jumps.
William B. Langdon, Riccardo Poli
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Nanoscale Research Letters, 2019 With Moore’s law closing to its physical limit, traditional von Neumann architecture is facing a challenge. It is expected that the computing in-memory architecture-based resistive random access memory (RRAM) could be a potential candidate to overcome ...
Zhen-Yu He +6 more
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Advanced Electronic Materials, 2023 Traditional computation based on von Neumann architecture is limited by time and energy consumption due to data transfer between the storage and the processing units. The von Neumann architecture is also inefficient in solving unstructured, probabilistic,
Dheemahi Rao +3 more
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All-optical computing based on convolutional neural networks
Opto-Electronic Advances, 2021 The rapid development of information technology has fueled an ever-increasing demand for ultrafast and ultralow-energy-consumption computing. Existing computing instruments are pre-dominantly electronic processors, which use electrons as information ...
Kun Liao +9 more
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Ultralow-Energy Analog Reservoir Computing via Reconfigurable 2-Transistor Memory. [PDF]
Adv Sci (Weinh)This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Park JM +11 more
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Octantis: An Exploration Tool for Beyond von Neumann architectures
2021 16th International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS), 2021 Nowadays, the modern electronic systems are facing an important limitation in terms of performance, known as von Neumann bottleneck. It affects the communications between two crucial elements, the CPU and the memory, which suffer from a saturation in bandwidth.
Marchesin, Andrea +7 more
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