Results 61 to 70 of about 55,131 (288)

GPU Acceleration of Image Convolution using Spatially-varying Kernel

, 2012
Image subtraction in astronomy is a tool for transient object discovery such as asteroids, extra-solar planets and supernovae. To match point spread functions (PSFs) between images of the same field taken at different times a convolution technique is ...
Hartung, Steven, Miller, J. Patrick, Pennypacker, Carlton, Shukla, Hemant   +3 more
core   +1 more source

GPU-Accelerated Apriori Algorithm [PDF]

ITM Web of Conferences, 2017
This paper propose a parallel Apriori algorithm based on GPU (GPUApriori) for frequent itemsets mining, and designs a storage structure using bit table (BIT) matrix to replace the traditional storage mode. In addition, parallel computing scheme on GPU is discussed.
Jiang Hao, Xu Chen-Wei, Liu Zhi-Yong, Yu Li-Yan   +3 more
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
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, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

GPU-driven recombination and transformation of YCoCg-R video samples [PDF]

, 2006
Common programmable Graphics Processing Units (GPU) are capable of more than just rendering real-time effects for games. They can also be used for image processing and the acceleration of video decoding. This paper describes an extended implementation of
De Neve, Wesley, Van de Walle, Rik, Van Rijsselbergen, Dieter   +2 more
core   +1 more source

Tackling Exascale Software Challenges in Molecular Dynamics Simulations with GROMACS

, 2015
GROMACS is a widely used package for biomolecular simulation, and over the last two decades it has evolved from small-scale efficiency to advanced heterogeneous acceleration and multi-level parallelism targeting some of the largest supercomputers in the ...
A Arnold, A Faradjian, B Hess, C Schütte, G Wilson, JA Anderson, JC Phillips, KJ Bowers, KJ Bowers, L Verlet, M Eleftheriou, M Shirts, MJ Abraham, P Eastman, R Yokota, S Pronk, S Páll, U Essmann, W Humphrey, WM Brown, Y Andoh, Y Sugita   +21 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

An efficient quantum circuit implementation of Shor’s algorithm for GPU accelerated simulation

AIP Advances
In this study, we introduce a novel implementation of Shor’s algorithm specifically designed for the Graphics Processing Unit (GPU) acceleration framework.
XinJian Tan, Peng Gao
doaj   +1 more source

Parallel Computing Method of Commonly Used Interpolation Algorithms for Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Parallel computing is a common method to accelerate remote sensing image processing. This article briefly describes six commonly used interpolation functions and studies three commonly used parallel computing methods of the corresponding nine ...
Minghu Fan, Xianyu Zuo, Bing Zhou
doaj   +1 more source

Programmable DNA‐Peptide Hybrid Nanostructures for Potent Neutralization of Multiple Influenza a Virus Subtypes

Advanced Functional Materials, EarlyView.
A multivalent antiviral platform based on honeycomb‐shaped DNA nanostructures (HC–Urumin) is developed to enhance the potency and breadth of the host defense peptide Urumin. Through spatially patterned trimeric presentation, HC–Urumin disrupts influenza A virus entry, improves cell viability, and reduces disease severity in vivo‐offering a modular and ...
Saurabh Umrao, Abhisek Dwivedy, Payton L. Haak, Dhanush Gandavadi, Laurie A. Rund, Chi Chen, Vineetha Mareddy, Lifeng Zhou, Jinwei Duan, Ying Fang, Andrew J. Steelman, Xing Wang   +11 more
wiley   +1 more source

GPU Simulation Acceleration via Parallelization

2025 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)
This work has been supported by the CoCoUnit ERC Advanced Grant of the EU’s Horizon 2020 program (grant No 833057), the Spanish State Research Agency (MCIN/AEI) under grant PID2020-113172RB-I00, the Catalan Agency for University and Research (AGAUR) under grant 2021SGR00383, and the ICREA Academia ...
Huerta Gañán, Rodrigo, González Colás, Antonio María   +1 more
openaire   +2 more sources