Results 61 to 70 of about 156,766 (287)
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
Solving the coalition structure generation problem on a GPU
We develop the first parallel algorithm for Coalition Structure Generation (CSG), which is central to many multi-agent systems applications. Our approach involves distributing the key steps of a dynamic programming approach to CSG across computational ...
Cruz, Francisco +4 more
core +1 more source
Efficient GPU Power Management through Advanced Framework Utilizing Optimization Algorithms [PDF]
The rapid rise in power usage by GPUs due to advances in machine and deep learning has led to an increase in power consumption of GPUs in Deep Learning workloads.
Ramesha Rehman +2 more
doaj +1 more source
Large-scale 3D fast Fourier transform computation on a GPU
We propose a novel graphics processing unit (GPU) algorithm that can handle a large-scale 3D fast Fourier transform (i.e., 3D-FFT) problem whose data size is larger than the GPU's memory.
Jaehong Lee, Duksu Kim
doaj +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
dryuanye/FUNWAVE-GPU: First release of FUNWAVE-GPU
FUNWAVE-GPU is an extention to FUNWAVE v3.3 for massive computation on GPU devices. The project is still on-going and bug-fixing will continue for a while.
Ye Yuan
core +1 more source
Further advances in applications can be anticipated through the development of unique and functional materials beyond conventional alloys. Nitrogen enables tailor‐made orbital textures in various transition‐metal hosts, paving the way for devices ranging from spintronics memory to artificial intelligence hardware.
Prabhat Kumar +3 more
wiley +1 more source
Vortex Methods for the Simulation of Turbulent Flows: Review
Vortex methods are a group of Lagrangian and semi-Lagrangian methods based on the vorticity-streamfunction or vorticity-velocity formulation of the Navier-Stokes equation, and provide an interesting alternative to grid based methods for external flows ...
Rio YOKOTA, Shinnosuke OBI
doaj +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source

