Results 91 to 100 of about 403 (212)

Handbook of Floating-Point Arithmetic [PDF]

, 2010
Muller, Jean-Michel, Brisebarre, Nicolas, de Dinechin, Florent, Jeannerod, Claude-Pierre, Lefèvre, Vincent, Melquiond, Guillaume, Revol, Nathalie, Stehlé, Damien, Torres, Serge   +8 more
openaire   +2 more sources

Cavity‐Compatible Light Extraction in Top‐Emitting Microcavity OLEDs via a Gentle Internal Corrugation Layer and Resonance‐Matched Narrowband Emission

Advanced Science, EarlyView.
A gentle internal corrugation layer conformally reshapes the microcavity OLED stack, redistributing confined optical power toward extractable channels while preserving cavity‐controlled emission. Combined with optical clear resin and a resonance‐matched narrowband pTSF emissive system, this cavity‐compatible architecture delivers an external quantum ...
Young Rok Kim, Ajay Nimbalkar, Min Chul Suh   +2 more
wiley   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

Advanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang, Dooyong Koh, Brooke McGoldrick, Tudor Mocioi, Yabin Fan, Marc Baldo, Luqiao Liu   +6 more
wiley   +1 more source

Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors

Advanced Science, EarlyView.
Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer, Juan P. Martinez, Yuxuan He, Giulio Galderisi, Katrin Pingen, Eduardo Sergio Oliveros‐Mata, Lisa Tellis, Cigdem Cakirlar, Christoph Beyer, Brojogopal Sapui, Joachim Knoch, Klaus Hofmann, Sandro Carrara, Eugenio Cantatore, Max C. Lemme, Ian O'Connor, Akash Kumar, Andre Heinzig, Thomas Mikolajick, Walter M. Weber   +19 more
wiley   +1 more source

Hardware‐Native Gaussian Sampling With Probabilistic Ising Machines for Modern Communication Paradigms

Advanced Science, EarlyView.
Probabilistic Ising machines are introduced as hardware‐native Gaussian samplers for edge communication workloads. Tunable variance and sampling density enable accurate distributions for Falcon‐class post‐quantum signatures and diffusion‐based semantic communication.
Davi Rodrigues, Andrea Grimaldi, Deborah Volpe, Youwei Bao, Shuhan Yang, Eleonora Grassucci, Giulio Siracusano, Massimo Chiappini, Mario Carpentieri, Hyunsoo Yang, Giovanni Finocchio   +10 more
wiley   +1 more source

On the numerical solution of chaotic dynamical systems using extend precision floating point arithmetic and very high order numerical methods

Nonlinear Analysis, 2011
Multiple results in the literature exist that indicate that all computed solutions to chaotic dynamical systems are time-step dependent. That is, solutions with small but different time steps will decouple from each other after a certain (small) finite ...
Scott A. Sarra, Clyde Meador
doaj  

Temporally Correlated Stochastic Spiking Neural Networks Enabled by 2D Ferroelectric Synapse‐Neuron Integration

Advanced Science, EarlyView.
We demonstrate a stochastic spiking neural network by integrating an α‐ln2Se3/h‐BN/CIPS FeFET synapse with an Au/CIPS/Au neuron. Unlike conventional memoryless stochastic neurons, the proposed neuron generates stochastic spikes through the evolution of internal ferroelectric polarization states, giving rise to intrinsic temporal correlations and ...
Hanseo Jeon, Ui Do Ji, Sangmin Lee, Gihyeon Bhin, Chang Yong Park, Ji‐Sang Park, Byungchul Jang, Sungjoo Lee   +7 more
wiley   +1 more source

Fast Generation of Custom Floating-Point Spatial Filters on FPGAs

IEEE Access
Convolutional Neural Networks (CNNs) have been utilised in many image and video processing applications. The convolution operator, also known as a spatial filter, is usually a linear operation, but this linearity compromises essential features and ...
Nelson Campos, Eran Edirisinghe, Slava Chesnokov, Daniel Larkin   +3 more
doaj   +1 more source

Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution

Advanced Science, EarlyView.
A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang, Chenglong Zheng, Huaping Zang, Changwei Zhang, Huai Xia, Chang Wang, Zhenrong Zheng   +6 more
wiley   +1 more source

Floating-to-Fixed-Point Conversion for Digital Signal Processors

EURASIP Journal on Advances in Signal Processing, 2006
Digital signal processing applications are specified with floating-point data types but they are usually implemented in embedded systems with fixed-point arithmetic to minimise cost and power consumption.
Menard Daniel, Chillet Daniel, Sentieys Olivier   +2 more
doaj   +1 more source